This position is ideal for someone who thrives at the intersection of platform engineering, system design, performance optimization, and long-term architectural thinking. You will shape the technical backbone that enables product teams to move faster, ship safer, and innovate with confidence. If you enjoy building durable foundations, eliminating systemic risks, and raising the quality bar for mobile engineering, you’ll feel right at home on our team.

MAI operates with the agility of a startup—fast-paced, iterative, and impact-driven—while backed by Microsoft’s mission to empower every person and organization on the planet to achieve more. We value engineers who take initiative, navigate ambiguity with clarity, and continuously push the boundaries of what mobile platforms can achieve.

Responsibilities

Strengthen the core quality and reliability of the app, building guardrails, diagnostics, and automated protections that prevent regressions and ensure consistent performance at scale.

Drive optimizations across the app, using deep platform knowledge to identify systemic bottlenecks and implement durable improvements.

Partner closely with cross-functional teams (Product, Design, Research, Backend, AI) to translate complex requirements into robust, scalable client-side solutions.

Explore and integrate AI-assisted development workflows to improve code quality, reduce iteration time, and enhance developer productivity across the mobile organization.

Own critical incident response and long-term remediation, ensuring the app remains stable, observable, and resilient under real-world conditions.

Qualifications

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

2+ years of professional experience in iOS development using Swift and/or Objective‑C, with strong understanding of iOS frameworks, system behaviors, and performance characteristics.

Proven experience building and maintaining large-scale, high-quality mobile applications with complex architecture and long-term maintainability requirements.

Solid understanding of mobile system design, including modularization, dependency management, concurrency, memory management, and networking.

Demonstrated ability to diagnose and resolve deep technical issues across performance, stability, and reliability dimensions.

A growth mindset and willingness to adopt new tools, technologies, and AI-assisted engineering workflows.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience designing mobile foundations or platform-level components (e.g., shared frameworks, internal SDKs, architecture patterns).

Expertise in performance profiling, crash/ANR root-cause analysis, startup optimization, memory tuning.

Experience with cross-platform client engineering (Android, React Native, Flutter, or shared C++ layers) is a plus.

Solid communication and collaboration skills, with the ability to influence engineering direction across multiple teams.

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At Microsoft AI, we believe in pushing the boundaries to create outstanding products and services. Our mission is to innovate and excel in AI so you can be more productive and efficient in everything you do.

As a Member of Technical Staff – Full Stack – Engineering Manager, you will be leading high-performing full-stack teams in delivering robust, scalable, and secure software solutions. You will be driving the development of capabilities for our Copilot product.

Responsibilities:

• Hire, manage, and lead a team of software engineers responsible for delivering secure, reliable, and scalable products
• Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world
• Write and review code, ensuring quality, maintainability, and performance, while also setting high standards for engineering excellence across the team
• Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements
• Build and maintain testing strategies, ensuring comprehensive coverage, effective automation, and scalable test frameworks that support continuous integration and deployment
• Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination

Qualifications:

• Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• 3 years of people management experience
• Preferred Qualifications: Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years people management experience

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As a Principal Product Manager for Microsoft AI, you will drive building world-class AI applications that will delight consumers and deliver business results. You will own a product area and be responsible for understanding user needs and behaviours, defining product requirements, managing end-to-end product development, launches and iterations. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

You will enjoy working in a fast-paced, customer-first, product development cycle. You will translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams. You will define goals and performance indicators, set up and oversee experiments, measure success with data and research.

Responsibilities:

• Drive building world-class AI applications that will delight consumers and deliver business results
• Own a product area and be responsible for understanding user needs and behaviours, defining product requirements, managing end-to-end product development, launches and iterations
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
• Enjoy working in a fast-paced, customer-first, product development cycle
• Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams
• Define goals and performance indicators, set up and oversee experiments, measure success with data and research

Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI
• 5+ years experience delivering products that include full Search and/or Advertising technology stack
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript)
• 7+ years of experience building Ads products
• 5+ years of experience in monetization products and B2B
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team

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At Microsoft AI, we deliver exceptional products and services that empower users to be more productive and efficient.

In this role, you will work across all four stages of our evaluation platform: data sampling, AI data collection and processing, data analysis and evaluation, and insight generation.

You will contribute across the full stack—from backend databases and middle-tier services to browser automation, statistical analysis, and dashboard creation.

Expect to dive into prompt engineering and leverage cutting-edge AI tools to drive meaningful impact.

This engineering position offers exposure to a wide range of technologies and surfaces, including desktop, web, and mobile.

You will collaborate closely with teams across Microsoft AI to assess Copilot’s relevance, performance, trustworthiness, and visual appeal.

Our platform supports desktop and mobile automation and UX studies—enabling scenarios like multi-turn conversations with voice input on iOS and Android apps.

The possibilities are endless.

Responsibilities:

• Expertise in experimentation methodologies, including A/B evaluation, data sampling, measurement techniques, evaluation design, and data analysis.

• Demonstrating strategic vision by understanding organizational goals, translating metrics into actionable insights, and enhancing product quality.

• Designing pipeline architecture to ensure rapid iteration and scalability.

• Conducting post-analysis of labeled data and developing dashboards to visualize insights.

• Collaborating closely with the product team to enhance quality and address gaps.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to C#, Java, or Python OR equivalent experience.

• 2+ years’ experience with SQL, PostgreSQL or MySQL

• 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.

• Extensive use datastores like RDBMS, key-value stores, etc.

• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code

• HTML, CSS, JavaScript, ASP.NET, REST, jQuery

• Familiarity with browser automation tools like Selenium, Puppeteer or Playwright

• Familiarity with mobile automation tools like Appium

• Familiarity with LLMs and AI ChatBots Prompt Engineering

• Azure DevOps, GIT

• Azure Open AI, Azure Foundry

• Experience in leading technical projects and supporting architectural decisions with data.

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Our team of engineers is dedicated to working on the latest technological trends in Search, AI, Agents, responsible AI, security, and privacy. We strive to take the best ideas and turn them into innovative business strategies and products. We are seeking a highly skilled, motivated Software Engineer to evangelize and build APIs that power the agentic web. In this role, you will drive customer focused feature development, onboard partners, and support strategic relationships in a fast-paced environment while maintaining high energy, professionalism, and a passion for innovation.

The ideal candidate will have technical expertise across the full product lifecycle, preferably in platforms, APIs, and schemas, combined with solid partnership, collaboration, and agile project management skills. In this role, you will be responsible for designing, developing, and deploying products and services to address complex business challenges. The candidate must understand customer technical requirements, quickly collaborate with partners to determine how best to leverage our systems, and translate those requirements into solutions with others in the engineering team.

Responsibilities:

Work on the delivery of high-quality services that will power AI and Search experiences across products.

Ensure the quality, scalability, reliability, security, and maintainability of services.

Participate in design and code reviews, and contribute to the development of a clean, well-documented codebase.

Stay current with the latest developments in AI, Search and development, and bring innovative ideas and insights to the team.

Help other team members plan and execute technical deliverables with the required quality.

Participate in the success of internal and external partner relationships.

Coordinate and orchestrate product requirements gathered from partners.

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Responsibilities:

Define and drive the product roadmap for Copilot on Mac, aligning with Microsoft AI (MAI) vision and cross-surface priorities.

Deliver full feature parity with other Copilot surfaces while elevating native Mac experiences and OS-level integration.

Identify and prioritize user pain points through data, research, and experimentation to improve engagement, retention, and monetization.

Partner closely with Engineering, Design, Data, Growth, and cross-functional AI platform teams to ship high-quality features at speed.

Lead end-to-end product execution: write clear PRDs, define success metrics, manage trade-offs, and ensure timely delivery.

Drive experimentation (A/B testing, flighting) and leverage insights to continuously optimize user journeys.

Champion macOS-native innovation, including deep OS integrations and differentiated AI experiences.

Build scalable processes to enable cross-squad collaboration and position Copilot Mac as a first-class platform.

Qualifications:

Bachelor’s Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience.

5+ years of product management experience, preferably in consumer software, AI-powered products, or platform ecosystems.

Proven track record of shipping complex, cross-functional features from concept to launch.

Solid understanding of AI-powered product experiences and their application in real-world user workflows.

Experience working closely with engineering teams and understanding technical architecture, APIs, and system constraints.

Data-driven mindset with experience defining KPIs and running experiments.

Excellent communication skills with the ability to influence stakeholders across disciplines.

Strong user empathy and product intuition, with attention to UX quality and detail.

Ability to thrive in a fast-paced, ambiguous environment and drive clarity across teams.

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Responsibilities:

• Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
• Prototype and productionize ML models for anomaly detection and predictive insights.
• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
• Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Experience writing production-quality Python or Java code
• Demonstrated interest in Responsible AI

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The Edge Growth MAI-A team is responsible for driving user acquisition, engagement, and retention for Microsoft Edge, which serves over a billion users worldwide. We build and optimize data, experimentation, feedback, and insights systems to enable rapid product growth.

Responsibilities

• Design, develop, and maintain scalable systems for growth experimentation, feedback loops, and data-driven insights.
• Build reusable components and architecture to support long-term sustainability and rapid iteration.
• Collaborate with Data Science teams to operationalize AI-first engineering solutions, including advanced AI solution-powered insights and personalization systems.
• Implement intelligent experimentation frameworks to optimize user journeys and product features.
• Work closely with PMs, Data Scientists, and other engineers in mission-based crews to deliver milestones aligned with growth objectives.
• Ramp up quickly across different areas of the Edge codebase, embracing flexibility and breadth of expertise.
• Develop and refine KPIs dashboards, churn analysis systems, and attribution models to measure success and guide decisions.
• Ensure high-quality telemetry and experimentation infrastructure for global scale.

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About the Team

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

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We're looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines.

Responsibilities:

• Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
• Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
• Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
• Independently write efficient, readable, extensible code and model pipelines.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 7+ years’ experience writing production-quality Python or Java or Scala code.
• 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
• 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
• Demonstrated interest in Responsible AI.
• Experience prompting, evaluating, and working with large language models.

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As a Principal, AI Strategy and Operations Program Manager, you will serve as a high leverage, important contributor to the broader strategic and operational needs of MAI. This role includes organizing high impact decision forums, coordinating cross functional execution of model development programs, and translating insights into recommendation memos for leadership, while helping to shape MAI's overarching strategy and align resources and governance across teams.

Responsibilities

• Gather competitive and market intelligence on other AI labs and approaches, synthesize insights into succinct briefs, and translate them into recommendation memos for leadership.
• Drive decision cadence and governance organizing and facilitating high-impact forums (e.g., model strategy reviews, councils, and executive decision reviews), and ensuring follow-through and accountability.
• Ensure high-quality decision materials by curating pre-reads, pressure-testing narratives, and managing stakeholder feedback loops so presentations and artifacts are evidence-based, crisp, and board-ready.
• Coordinate cross-functional execution of key priorities, partnering with teams to remove blockers, escalate risks, and keep initiatives on schedule.
• Build and steward relationships across internal teams and external partners, representing MAI's model development priorities in cross-Microsoft forums and helping align strategy, resources, and governance.

Qualifications

• Master's Degree in Business Administration or related field AND 3+ years consulting, investment banking, and/or program management experience OR Bachelor's Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 4+ years consulting, investment banking, and/or program management experience OR equivalent experience.
• 5+ year(s) experience working in investment banking or a consultancy firm in the capacity of an Associate, Analyst, Consultant or equivalent, or otherwise as a Program Manager.
• 3+ years' experience in Strategy, Management Consulting, and/or Finance.
• Business Strategy IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 per year.
• Business Strategy IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 per year.

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You are expected to build deep product fundamentals, reusable frameworks, and domain understanding that enable you to take on different problem spaces over time (e.g., quality, personalization, platform, or new experiences), based on business priorities. You will work closely with engineering, design, data science, and partner teams to define product direction, lead complex initiatives, and deliver step-function improvements in engagement, adoption, and task success across MAI surfaces such as Search, Browsing, and Copilot experiences.

Responsibilities:

• Own product direction and outcomes for a major area within MAI Suggestions, initially focused on Experiences and Growth—from problem framing through execution to measurable customer and business impact.
• Set and sustain a high-velocity product operating rhythm by creating clarity, generating energy, and reducing friction—accelerating decision-making and setting a high bar for pace, ownership, and execution across cross-functional teams.
• Enable rapid shipping, learning, and iteration by leveraging AI-powered tooling and tight cross-functional collaboration to compress delivery cycles, increase experimentation throughput, and deliver impact ahead of the curve.
• Identify and lead high-impact opportunities to improve user engagement, activation, retention, and task success using data, experimentation, and deep customer insights.
• Frame ambiguous problem spaces effectively, define clear success metrics, and translate insights into well-prioritized product bets and roadmaps.
• Lead cross-team and cross-org initiatives, influencing partner teams to deliver cohesive, high-quality experiences across MAI surfaces.
• Partner closely with engineering and data science to make informed trade-offs across UX quality, velocity, scalability, and model performance.
• Define and evolve metrics, evaluation frameworks, and experiments to assess experience quality, growth impact, and long-term value.
• Act as a product thought leader, shaping principles, best practices, and reusable approaches that scale beyond a single problem area.
• Communicate product strategy, trade-offs, and outcomes to senior stakeholders, driving alignment and informed decision-making.
• Mentor and raise the bar for other PMs through design reviews, strategic guidance, and shared ownership of product excellence.

Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development. OR equivalent experience.
• Proven track record of leading large-scope initiatives with measurable customer and business impact.
• Strong product judgment and strategic thinking, with the ability to connect customer needs to product direction and business outcomes.
• Deep customer empathy and UX intuition, especially in consumer-scale or AI-powered experiences.
• Strong analytical skills and comfort using data, experimentation, and evaluation frameworks to drive decisions.
• Experience influencing without authority, aligning senior stakeholders across teams.
• Excellent communication and collaboration skills in fast-paced, ambiguous environments.
• Experience mentoring other product managers is a plus.

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development. OR equivalent experience.
• 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
• 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

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You are expected to build deep product fundamentals, reusable frameworks, and domain understanding that enable you to take on different problem spaces over time (e.g., quality, personalization, platform, or new experiences), based on business priorities. You will work closely with engineering, design, data science, and partner teams to define product direction, lead complex initiatives, and deliver step-function improvements in engagement, adoption, and task success across MAI surfaces such as Search, Browsing, and Copilot experiences.

Responsibilities:

• Own product direction and outcomes for a major area within MAI Suggestions, initially focused on Experiences and Growth—from problem framing through execution to measurable customer and business impact.
• Set and sustain a high-velocity product operating rhythm by creating clarity, generating energy, and reducing friction—accelerating decision-making and setting a high bar for pace, ownership, and execution across cross-functional teams.
• Enable rapid shipping, learning, and iteration by leveraging AI-powered tooling and tight cross-functional collaboration to compress delivery cycles, increase experimentation throughput, and deliver impact ahead of the curve.
• Identify and lead high-impact opportunities to improve user engagement, activation, retention, and task success using data, experimentation, and deep customer insights.
• Frame ambiguous problem spaces effectively, define clear success metrics, and translate insights into well-prioritized product bets and roadmaps.
• Lead cross-team and cross-org initiatives, influencing partner teams to deliver cohesive, high-quality experiences across MAI surfaces.
• Partner closely with engineering and data science to make informed trade-offs across UX quality, velocity, scalability, and model performance.
• Define and evolve metrics, evaluation frameworks, and experiments to assess experience quality, growth impact, and long-term value.
• Act as a product thought leader, shaping principles, best practices, and reusable approaches that scale beyond a single problem area.
• Communicate product strategy, trade-offs, and outcomes to senior stakeholders, driving alignment and informed decision-making.
• Mentor and raise the bar for other PMs through design reviews, strategic guidance, and shared ownership of product excellence.

Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development. OR equivalent experience.
• Proven track record of leading large-scope initiatives with measurable customer and business impact.
• Strong product judgment and strategic thinking, with the ability to connect customer needs to product direction and business outcomes.
• Deep customer empathy and UX intuition, especially in consumer-scale or AI-powered experiences.
• Strong analytical skills and comfort using data, experimentation, and evaluation frameworks to drive decisions.
• Experience influencing without authority, aligning senior stakeholders across teams.
• Excellent communication and collaboration skills in fast-paced, ambiguous environments.
• Experience mentoring other product managers is a plus.
• Preferred Qualifications:
  • Bachelor’s Degree AND 12+ years experience in product/service/program management or software development. OR equivalent experience.
  • 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

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Responsibilities:

• Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
• Prototype and productionize ML models for anomaly detection and predictive insights.
• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
• Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Experience writing production-quality Python or Java code
• Demonstrated interest in Responsible AI.

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As part of our team, you’ll:

Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines. Build data applications that directly impact Microsoft Ads’ double-digit annual growth. Work on cutting-edge technologies in distributed systems, machine learning, and big data.

Responsibilities

Work with BingAds stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements. Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions. Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature. Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners. Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature. Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.

Qualifications

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field
• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• Ability to meet Microsoft, customer and/or government security screening requirements

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field
• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• Experience in Azure
• Experience in Machine learning and online system design, implementation and qualification
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala

#MicrosoftAI #BingAds Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

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Responsibilities:

• Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
• Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
• Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
• Independently write efficient, readable, extensible code and model pipelines.
• Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 7+ years’ experience writing production-quality Python or Java or Scala code.
• 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
• 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
• Demonstrated interest in Responsible AI.
• Experience prompting, evaluating, and working with large language models.

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Responsibilities:

• Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
• Prototype and productionize ML models for anomaly detection and predictive insights.
• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
• Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Experience writing production-quality Python or Java code
• Demonstrated interest in Responsible AI

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We are bringing Copilot and AI into a world class mobile browser to make it easier for users to search, read, decide, and act, while we work to lead in the emerging AI browser space.

At Microsoft Edge Mobile, we deliver a fast, secure, and reliable browser built on Chromium, and we are steadily making it smarter through thoughtful AI integration.

We are looking for a Product Manager who has a solid appetite for working close to the Chromium based platform and can pair product judgment with hands on, AI enabled ways of working to move quickly, learn faster than competitors, and deliver real user value.

Responsibilities

• Identify, define, and evolve product opportunities by combining user research, data, competitive insights, and ongoing feedback across areas such as search, reading, privacy, Copilot integration, and cross device continuity.

• Design and run experiments, interpret results, and guide investment decisions using both traditional analytics and AI assisted workflows.

• Leverage AI tools to monitor, interpret, and quickly react to user voices across app reviews, feedback, and other signals.

• Work closely with engineering and design partners to decide which capabilities should align with Chromium and where Edge should purposefully diverge, while shipping high quality features on a regular release cadence.

• Ensure smooth app release schedules and collaborate with business development and marketing teams on app store promotions and in product launches.

• Drive adoption and growth through in product experiences and clear communication of plans, results, and learnings to stakeholders and leadership.

Qualifications

• Bachelor’s Degree AND 2+ years experience in product/service/program management or software development or equivalent experience.

• Solid product mindset grounded in customer needs, business outcomes, and quality at scale.

• Ability to own ambiguous problems end to end, from framing and discovery through delivery, iteration, and learning.

• Comfort designing experiments, reading data, and using evidence to make and explain product decisions.

• Familiarity with working on large, technically complex products and navigating tradeoffs between platform capabilities and product differentiation.

• Ability to manage multiple work streams in a fast moving environment while maintaining focus on what matters most.

• Willingness to act with a bias toward action, using AI assisted tools and workflows to test ideas quickly and avoid long dependency chains.

• Ability to create clarity through concise written and verbal communication with engineering, design, test partners, and leadership.

• 2+ years of experience building user facing products.

• Demonstrated ability to deliver meaningful user value at scale.

• Experience working across engineering, design, data, and go to market partners.

• Ability to influence without authority and collaborate effectively across teams.

Preferred Qualifications

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development or equivalent experience.

• 4+ years of experience building user facing products.

• Experience working on consumer apps, mobile products, or platforms with large user bases.

• Familiarity with Chromium based browsers or browser platforms.

• Familiarity with experimentation, analytics, or growth loops.

• Experience working with LLM powered or agentic AI products.

• Hands on use of AI powered tools to improve product discovery, analysis, and execution.

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In this role, you will architect, harden, and optimize the core layers of our mobile applications—frameworks, infrastructure, performance pipelines, and reliability systems—that power Copilot and our broader ecosystem across millions of devices.

This position is ideal for someone who thrives at the intersection of platform engineering, system design, performance optimization, and long-term architectural thinking. You will shape the technical backbone that enables product teams to move faster, ship safer, and innovate with confidence.

If you enjoy building durable foundations, eliminating systemic risks, and raising the quality bar for mobile engineering, you'll feel right at home on our team.

MAI operates with the agility of a startup—fast-paced, iterative, and impact-driven—while backed by Microsoft’s mission to empower every person and organization on the planet to achieve more.

We value engineers who take initiative, navigate ambiguity with clarity, and continuously push the boundaries of what mobile platforms can achieve.

Responsibilities:

Strengthen the core quality and reliability of the app, building guardrails, diagnostics, and automated protections that prevent regressions and ensure consistent performance at scale.

Drive optimizations across the app, using deep platform knowledge to identify systemic bottlenecks and implement durable improvements.

Partner closely with cross-functional teams (Product, Design, Research, Backend, AI) to translate complex requirements into robust, scalable client-side solutions.

Explore and integrate AI-assisted development workflows to improve code quality, reduce iteration time, and enhance developer productivity across the mobile organization.

Own critical incident response and long-term remediation, ensuring the app remains stable, observable, and resilient under real-world conditions.

Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

2+ years of professional experience in iOS development using Swift and/or Objective‑C, with strong understanding of iOS frameworks, system behaviors, and performance characteristics.

Proven experience building and maintaining large-scale, high-quality mobile applications with complex architecture and long-term maintainability requirements.

Solid understanding of mobile system design, including modularization, dependency management, concurrency, memory management, and networking.

Demonstrated ability to diagnose and resolve deep technical issues across performance, stability, and reliability dimensions.

A growth mindset and willingness to adopt new tools, technologies, and AI-assisted engineering workflows.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Experience designing mobile foundations or platform-level components (e.g., shared frameworks, internal SDKs, architecture patterns).

Expertise in performance profiling, crash/ANR root-cause analysis, startup optimization, memory tuning.

Experience with cross-platform client engineering (Android, React Native, Flutter, or shared C++ layers) is a plus.

Solid communication and collaboration skills, with the ability to influence engineering direction across multiple teams.

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This role offers the unique opportunity to work on some of the largest scale supercomputers in the world – a rare chance to operate at such a significant scale.

Responsibilities

Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.

Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.

Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.

Develop and maintain automation and tooling using Bash and/or Python to improve cluster reliability, observability, and operational efficiency.

Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.

Drive work forward independently by navigating ambiguity and technical roadblocks, delivering incremental improvements that get capabilities into users’ hands quickly.

Qualifications

Do you have a Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP, OR equivalent experience?

Preferred Qualifications

Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 6+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 6+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP, OR equivalent experience.

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As a Senior Product Manager, you will work at the nexus of product and research, driving execution in partnership with engineers, language engineers, data scientists and researchers. You will develop and execute on LLM platform strategy for Copilot that extend language model's capabilities. You will prototype approaches by steering language models to drive response quality across a wide range of scenarios. You will identify and prioritise platform, orchestration and language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution.

You will define and build measurable evaluations with relevant datasets to demonstrate quality improvements. You will define, deploy and manage experiments in production that impact language model's tool use, driving measurable improvements in relevance for and engagement with Copilot users. You will partner with product teams to scale tool building and work with inference, agents and orchestration teams to resolve dependencies. You will be accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.

Responsibilities include:

• Developing and executing on LLM platform strategy for Copilot that extend language model's capabilities
• Prototyping approaches by steering language models to drive response quality across a wide range of scenarios
• Identifying and prioritising platform, orchestration and language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution
• Defining and building measurable evaluations with relevant datasets to demonstrate quality improvements
• Defining, deploying and managing experiments in production that impact language model's tool use, driving measurable improvements in relevance for and engagement with Copilot users
• Partnering with product teams to scale tool building and working with inference, agents and orchestration teams to resolve dependencies
• Being accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery

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We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.

This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.

In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.

Microsoft Superintelligence Team Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.

Responsibilities Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.

Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.

Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.

Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.

Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.

Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.

Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.

Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

Qualifications Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Additional or Preferred Qualifications Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.

Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.

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We’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines.

Responsibilities:

• Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
• Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
• Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
• Independently write efficient, readable, extensible code and model pipelines.

Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 7+ years’ experience writing production-quality Python or Java or Scala code.
• 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
• 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
• Demonstrated interest in Responsible AI.
• Experience prompting, evaluating, and working with large language models.

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Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Is qualitatively and quantitatively data-driven and agile in seeking and using data for decision-making.
• Engages and influences with customers.
• Can explore opportunities and develop product strategy and roadmap based on business requirements.
• Able to identify ideal opportunities for external partnerships and lead discussions with potential external partners.
• Collaborates across organizational boundaries, building experiences our customers will love.

Qualifications:

• Bachelor's Degree AND 2+ years experience in product/service/program management or software development OR equivalent experience.
• Deep expertise in the wallet and payments ecosystem, with a proven track record of successfully scaling products and services.
• Solid knowledge of payment processing and card network systems.
• Experience in developing products from inception to completion, with a focus on the product aspect and a thorough understanding of the business needs.
• Demonstrated expertise in identifying potential market opportunities and successfully launching products that meet market demands.
• Data-driven decision making and ability to thoughtfully experiment.
• Experience in online/web services environment.
• Experience working with customers, with ability to deeply understand customer needs and competitive landscape, to achieve the best outcomes for the customer.

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Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Is qualitatively and quantitatively data-driven and agile in seeking and using data for decision-making.
• Engages and influences with customers.
• Can explore opportunities and develop product strategy and roadmap based on business requirements.
• Able to identify ideal opportunities for external partnerships and lead discussions with potential external partners.
• Collaborates across organizational boundaries, building experiences our customers will love.

Qualifications:

• Bachelor's Degree AND 2+ years experience in product/service/program management or software development OR equivalent experience.
• Deep expertise in the wallet and payments ecosystem, with a proven track record of successfully scaling products and services.
• Solid knowledge of payment processing and card network systems.
• Experience in developing products from inception to completion, with a focus on the product aspect and a thorough understanding of the business needs.
• Demonstrated expertise in identifying potential market opportunities and successfully launching products that meet market demands.
• Data-driven decision making and ability to thoughtfully experiment.
• Experience in online/web services environment.
• Experience working with customers, with ability to deeply understand customer needs and competitive landscape, to achieve the best outcomes for the customer.

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In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. You will lead efforts to:

• Develop novel data collection strategies
• Improve dataset quality and integrity
• Understand data-driven model behaviours
• Train models to understand the impact of data and data mixes
• Align datasets with ethical and societal values

This is a cross-disciplinary, high-impact role ideal for engineers and researchers who want to push the boundaries of what AI can learn from data.

Microsoft Superintelligence Team

The Microsoft Superintelligence Team is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control.

Responsibilities

• Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
• Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
• Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Qualifications

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
• 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
• Proficiency in statistics and exploratory data analysis methods.

XML job scraping automation by YubHub

In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. You will lead efforts to:

• Develop novel data collection strategies
• Improve dataset quality and integrity
• Understand data-driven model behaviours
• Train models to understand the impact of data and data mixes
• Align datasets with ethical and societal values

This is a cross-disciplinary, high-impact role ideal for engineers and researchers who want to push the boundaries of what AI can learn from data.

Microsoft Superintelligence Team

The Microsoft Superintelligence Team is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control.

Responsibilities

• Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
• Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
• Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Qualifications

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.
• 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.
• Proficiency in statistics and exploratory data analysis methods.

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Our platform integrates Microsoft’s Azure Confidential Compute Clean Room (ACCR) with third-party clean room partners to deliver a unified, compliant, and scalable measurement ecosystem. We are looking for a Senior Software Engineer who is passionate about distributed systems, privacy-enhancing technologies, secure data processing, and building reliable production services with global impact.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using C# or Java.

Design secure data collaboration workflows across multiple parties using modern privacy technologies, governance controls, and minimum-aggregation protections.

Drive integrations with external data and measurement partners, designing stable interfaces, schema governance patterns, and robust validation.

Lead initiatives to make delivery of high-quality software routine and efficient through the entire software development lifecycle, from inception and technical design through testing and excellence in production operations.

Collaborate closely with product, data science, privacy, and security teams to translate measurement needs into scalable platform capabilities.

Contribute to engineering team best practices leveraging AI dev tools across the software development lifecycle (SDLC).

Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

5+ years of experience building and operating large-scale distributed systems, backend services, or data platforms.

Experience with large-scale data processing frameworks (e.g. Spark, SQL-based pipelines) and cloud platforms.

Understanding of secure data processing, encryption, identity, and access control.

Experience building and operating services with strict SLAs.

Experience with Azure.

Background in advertising, marketing technology, attribution, or large-scale analytics.

Experience integrating third-party (vendor/partner) platforms, identity systems, or data collaboration technologies.

Solid problem-solving skills with a focus on reliability, observability, and system design.

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Microsoft AI are looking for a talented Member of Technical Staff - Full Stack Software Engineer to help build the next wave of capabilities for their personalized AI assistant, Copilot. At Microsoft AI, they push boundaries to deliver exceptional products and services that empower users to be more productive and efficient.

About the Role

In this role, you will work across all four stages of their evaluation platform: data sampling, AI data collection and processing, data analysis and evaluation, and insight generation. You will contribute across the full stack—from backend databases and middle-tier services to browser automation, statistical analysis, and dashboard creation. Expect to dive into prompt engineering and leverage cutting-edge AI tools to drive meaningful impact. This engineering position offers exposure to a wide range of technologies and surfaces, including desktop, web, and mobile.

Accountabilities

• Expertise in experimentation methodologies, including A/B evaluation, data sampling, measurement techniques, evaluation design, and data analysis.
• Demonstrating strategic vision by understanding organizational goals, translating metrics into actionable insights, and enhancing product quality.
• Designing pipeline architecture to ensure rapid iteration and scalability.
• Conducting post-analysis of labeled data and developing dashboards to visualize insights.
• Collaborating closely with the product team to enhance quality and address gaps.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to C#, Java, or Python.

Technical skills:

• SQL, PostgreSQL or MySQL.
• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code.
• HTML, CSS, JavaScript, ASP.NET, REST, jQuery.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff, AI Data to join their MAI Superintelligence Team in London. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Data, you will be responsible for designing and developing data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). You will also build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. You will partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. You will collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.

Accountabilities

• Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
• Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR equivalent experience.

Technical skills:

• Expertise in large scale data engineering ideally applied to AI
• Expertise in Spark, Kubernetes or similar

Personal attributes:

• Passionate about the role of data in large-scale AI model training
• Will thrive in a highly collaborative, fast-paced environment
• High degree of craftsmanship and pay close attention to details

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technology and tools
• Flexible work arrangements

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Microsoft AI are looking for a talented Member of Technical Staff, Developer Experience to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We’re looking for someone who will contribute to the development of AI models that are powering our innovative products. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Accountabilities

• Design, implement, and optimize CI/CD pipelines for large-scale ML training workloads.
• Build developer tools and automation to simplify training and evaluation workflows.
• Improve and maintain core infrastructure across multi-cloud environments.
• Deploy and manage model hosting systems for inference and data generation.
• Collaborate with cross-functional teams to drive best practices in reliability, testability, and performance.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proficiency in C, C++, C#, Java, JavaScript, or Python.

Personal attributes:

• Ability to work in a fast-paced, design-driven, product development cycle.

Benefits

• Competitive salary range of USD $139,900 – $274,800 per year.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Event Coordinator at their Redmond office. This role sits at the heart of fostering a team culture that is vibrant, inclusive, and high-performing work environment. You'll manage strategic operations, new hire onboarding experience, elevate cultural engagement, site level events and design scalable processes that support organisational growth.

About the Role

As a Senior Event Coordinator for the Microsoft AI team, you will play a pivotal role in fostering a team culture that is vibrant, inclusive, and high-performing work environment. You'll manage strategic operations, new hire onboarding experience, elevate cultural engagement, site level events and design scalable processes that support organisational growth. You'll work closely with the team to create moments that matter for the MAI employees in the Redmond office, such as Meetups, Social Connect Events, Networking, and Annual Events.

Accountabilities

• Meetup Strategy Planning & Execution plan each Redmond Meetup for the MAI organization that creates an effective, welcoming and well executed meetup experience. Responsibilities include: location booking (onsite), catering, AV booking and hands on support.
• Team Culture & Collaboration Foster an inclusive, empowering environment where individuals feel supported to grow, collaborate freely, and contribute to shared success.

The Candidate we're looking for

Experience:

• 4+ years experience in process management, or process improvement OR equivalent experience.

Technical skills:

• Budget management skills
• Communication and interpersonal skills
• Analytical mindset with experience in using data for strategic decision-making

Personal attributes:

• Leadership capabilities with a talent for motivating teams and building culture
• Ability to work cross-functionally and influence stakeholders at all levels

Benefits

• Business Program Management IC4 – The typical base pay range for this role across the U.S. is USD $96,500 – $188,400 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft AI are looking for a talented Technical Program Manager - Compute at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Technical Program Manager - Compute, you will drive projects and programs related to compute infrastructure, including forecasting and allocation resource needs like compute, storage, network. You will collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation. You will leverage data and analytics to define metrics, set baselines and targets for fleet efficiency & optimize. You will advocate for AI team's resource needs with exec and working level partners across Microsoft. You will foster a culture of collaboration, continuous improvement, and growth. You will own the status of key compute projects, proactively identifying risks and proposing solutions to ensure timely delivery. You will communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for quality and efficiency within the team.

Accountabilities

• Drive projects and programs related to compute infrastructure, including forecasting and allocation resource needs like compute, storage, network.
• Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation.

The Candidate we're looking for

Experience:

• 6+ years' experience in technical program management, infrastructure engineering, AI/ML, or product development OR equivalent experience.

Technical skills:

• Strong technical curiosity and judgment.

Personal attributes:

• Proactive attitude and enthusiasm for exploring new methods and technologies in compute and infrastructure.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Software Engineer at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI experiences. You'll work directly with leadership to shape the company's direction in the AI and simulation markets.

About the Role

In this role, you will work across the full stack—spanning Frontend and Backend—combining robust engineering practices with the power of modern AI to deliver critical features for Copilot and our broader ecosystem. You will drive the technical design, implementation, and deployment of critical AI services and AI user interfaces. Set a high bar for AI-native engineering by leveraging deep understanding of advanced AI solutions and frontline AI coding experience to accelerate development cycles.

Accountabilities

• Drive the technical design, implementation, and deployment of critical AI services and AI user interfaces.
• Set a high bar for AI-native engineering by leveraging deep understanding of advanced AI solutions and frontline AI coding experience to accelerate development cycles.
• Actively explore the latest advancements in AI-assisted programming and integrate them into daily workflows to build low-latency backend services and responsive frontend interactions with greater efficiency.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Solid understanding of full-stack development, including deep proficiency in both Frontend frameworks (e.g., React, TypeScript) and Backend services, with a strong grasp of scalable system architecture and design patterns.

Personal attributes:

• A highly open mindset with a relentless drive for continuous learning.
• Demonstrated willingness to embrace new technologies, tools, and paradigms—especially the rapid evolution of AI coding workflows—and apply them to solve complex engineering challenges.

Benefits

• Work from a designated Microsoft office at least four days a week if you live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Technical Program Manager to join their Infrastructure team in Mountain View. This role will involve coordinating projects and programs related to AI/ML infrastructure, including end-to-end planning, timelines, milestones, performance metrics, and resource needs.

About the Role

As a Technical Program Manager, you will be responsible for coordinating projects and programs related to AI/ML infrastructure. This will involve working closely with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation. You will also be responsible for leveraging data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs.

Accountabilities

• Coordinate projects and programs related to AI/ML infrastructure, including end-to-end planning, timelines, milestones, performance metrics, and resource needs.
• Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation.

The Candidate we're looking for

Experience:

• 6+ years of experience in engineering, product/technical program management, data analysis, or product development.

Technical skills:

• Experience reading and/or writing code (e.g., sample documentation, product demos).

Personal attributes:

• Proactive attitude and enthusiasm for exploring new methods and technologies in infrastructure and platform engineering.

Benefits

• Competitive salary range: $139,900 - $274,800 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Technical Program Manager to join their team in Mountain View. This role will be responsible for driving projects and programs related to compute infrastructure, including forecasting and allocation resource needs like compute, storage, network. The ideal candidate will have experience collaborating with AI researchers, engineers, and infrastructure teams to deliver robust, scalable solutions.

About the Role

As a Technical Program Manager at Microsoft AI, you will be responsible for driving projects and programs related to compute infrastructure. This will include forecasting and allocation resource needs like compute, storage, network. You will collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation. You will leverage data and analytics to define metrics, set baselines and targets for fleet efficiency & optimize. You will also advocate for AI team's resource needs with exec and working level partners across Microsoft.

Accountabilities

• Drive projects and programs related to compute infrastructure, including forecasting and allocation resource needs like compute, storage, network.
• Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation.

The Candidate we're looking for

Experience:

• 6+ years' experience in technical program management, infrastructure engineering, AI/ML, or product development.

Technical skills:

• Experience with cloud computing platforms, such as Azure or AWS.
• Knowledge of containerization and orchestration tools, such as Docker and Kubernetes.

Personal attributes:

• Strong technical curiosity and judgment.
• Proactive attitude and enthusiasm for exploring new methods and technologies in compute and infrastructure.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technologies. You'll work directly with leadership to shape the company's direction in the search and AI innovation markets.

About the Role

We are looking for a Senior Applied Scientist to lead the transition of news e2e tech stack to new architect tailored for grounding, which can power news search experience across Bing, Copilot and 3rd party customers faster with better quality and capabilities. The successful candidate will design and build scalable, high-performance platform and grounding services for real-time processing of streaming news content and serving user queries with low latency. They will apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario.

Accountabilities

• Design and build scalable, high-performance platform and grounding services for real-time processing of streaming news content and serving user queries with low latency.
• Apply AI and machine learning to solve challenging problems in news Index, content understanding, query understanding, trending detection, ranking, and quality improvement for relevance, freshness, and authority, especially for grounding scenario.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Solid background in platform, AI/ML, including experience with search platform, grounding platform, ranking systems, natural language processing, with more than 4 years of working experience.
• Proficiency in programming languages such as C++, C#, Java, or Python, and familiarity with distributed systems.

Personal attributes:

• Passion for news and AI-driven innovation, with an understanding of user needs in news consumption.
• Ability to work in a fast-paced environment and collaborate across disciplines.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Software Engineer at their Beijing office. This role sits at the heart of driving into Microsoft Edge, providing users with a normal Internet experience, and staying away from various malware harassment. You'll work directly with the Edge team to gain a deep understanding of the various problems users encounter when using Edge, analyze their causes, and provide solutions.

About the Role

As a Senior Software Engineer in Edge App Defaults, you will be joining a team passionate about driving into Microsoft Edge. This team is keen to protect users from using Edge normally, provide users with a normal Internet experience, and stay away from various malware harassment. In this team, you will have the opportunity to work with other teams, not only within Edge, but also with the Windows team to provide users with good Internet experience. You can also dig into the OS code and gain a deeper understanding of Windows. You will analyze Edge online usage data to identify emerging attack behaviors targeting Edge, and drive feasible mitigation solutions end-to-end. You will leverage advanced AI technology to shorten the detection latency for new attack behaviors. You will leverage advanced AI solutions to build sustainable, iterative, and long-term effective defense strategies.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Proficient on English reading and writing

Personal attributes:

• Average verbal smooth English communication ability

Benefits

• Work from the office at least four days per week
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Product Manager at their Hyderabad office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI-powered consumer health experiences. You'll work directly with leadership to shape the company's direction in the AI and health markets.

About the Role

This is a rare opportunity for a breadth and depth PM who works across large web scale search products as well as breakthrough Copilot product areas. We are looking for a Principal Product Manager (IC) to drive a core product area within Microsoft’s AI-powered consumer health experiences across Bing and Copilot. This role sits in Hyderabad and operates in a highly collaborative, cross-geo environment with close partners in the UK and US.

Accountabilities

• Own a product area end-to-end, developing deep understanding of user needs and behaviors, defining product strategy and requirements, and driving execution for AI-powered consumer health experiences including AI workflows, Evals etc.
• Translate business objectives into clear product strategy, user experience direction, and technical requirements in close partnership with design, engineering, data science, and AI model teams.

The Candidate we're looking for

Experience:

• 10+ years experience in product management, with deep technical fluency (DS & Engg.)

Technical skills:

• Deep technical fluency in DS & Engg.

Personal attributes:

• Exceptional written and verbal communication skills, with the ability to clearly articulate high altitude strategy as well as lowest level technical details.

Benefits

• Competitive salary and benefits package
• Opportunity to work on cutting-edge AI and health projects
• Collaborative and dynamic work environment
• Professional development opportunities

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising haptic entertainment technology. You'll work directly with leadership to shape the company's direction in the cinema and simulation markets.

About the Role

As a Senior Software Engineer, you'll design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines. You'll build data applications that directly impact Microsoft Ads' double-digit annual growth. You'll work on cutting-edge technologies in distributed systems, machine learning, and big data.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Work with BingAds stakeholders to determine requirements for new features to drive up Ads business

The Candidate we're looking for

Experience:

• 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Experience in Azure
• Experience in Machine learning and online system design, implementation and qualification
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala

Personal attributes:

• Strong problem-solving skills
• Excellent communication and collaboration skills

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Senior Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Software Engineer, you will be responsible for architecting scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals. You will design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data. You will also design data models and APIs that enable Copilot to reason about user context, preferences, and history.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals.
• Design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience building systems with coding in languages including, but not limited to, Python, C#, C++, Golang, Rust, Java.

Technical skills:

• Proficiency in backend technologies.
• Familiarity with applied AI and its unique challenges.

Personal attributes:

• Methodical approach to problem-solving.
• Ability to work closely with cross-functional teams.

Benefits

• Competitive salary range of USD $119,800 – $234,700 per year.
• Benefits and other compensation.
• Opportunity to work on cutting-edge AI technology.
• Collaborative and inclusive work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We're looking for someone who will contribute to the development of AI models that are powering our innovative products. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Software Engineer(Data) at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising advertising technology. You'll work directly with leadership to shape the company's direction in the advertising measurement ecosystem.

About the Role

As a Principal Software Engineer(Data), you will provide critical technical leadership across conversion and attribution, driving the continuous expansion of conversion signal coverage, the evolution of measurement logic, and systematic improvements in system reliability. Operating under complex business constraints and within a rapidly evolving industry landscape, the role requires balancing measurement accuracy, platform stability, and long-term extensibility. In close collaboration with product, modeling, and engineering partners, this position delivers stable, scalable conversion and attribution capabilities that create sustained business value.

Accountabilities

• Provides critical technical leadership across conversion and attribution, driving the continuous expansion of conversion signal coverage, the evolution of measurement logic, and systematic improvements in system reliability.
• Operating under complex business constraints and within a rapidly evolving industry landscape, the role requires balancing measurement accuracy, platform stability, and long-term extensibility.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Solid experience of shipping high performance C#, Java, or equivalent language code software.
• Understanding of distributed system and data parallel computing is preferred.
• Data processing or analytics experience with Spark, Flink, Kafka, Azure Data Lake is a plus.

Personal attributes:

• Quick learning and solid problem solving and debugging skills.
• Accountable and proactive.
• Good communication skill, fluent in English (both oral and written).

Benefits

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments.

About the Role

We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. Our team is responsible for Copilot, Bing, Edge, and generative AI research.

Accountabilities

• Design and develop next-generation hardware health monitoring and diagnostic frameworks for large GPU clusters (NVL16/NVL72/GB200+ scale).
• Build predictive analytics pipelines leveraging telemetry, power, and thermal data to anticipate hardware degradation and systemic issues.
• Collaborate with silicon, firmware, and datacenter engineers to identify root causes and remediate large-scale hardware anomalies.
• Define system health KPIs (e.g., NIS/RIS, MTBF, failure domain analysis) and integrate them into real-time observability platforms.
• Lead incident triage for high-impact GPU, network, and cooling issues across distributed clusters.
• Drive automation in health management to reduce manual intervention to the top 5% of anomalies.
• Partner with cross-functional teams to influence hardware design for reliability, thermal efficiency, and serviceability.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience working with large-scale HPC or GPU systems (NVIDIA H100/GB200 or equivalent).
• Deep understanding of GPU architecture, high-speed interconnects (NVLink, InfiniBand, RoCE), and large datacenter topologies.
• Proficiency in hardware telemetry, diagnostics, or failure analysis tools.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Applied Scientist at their New York office. This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. You'll work directly with leadership to deliver scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

About the Role

In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

Accountabilities

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.

Personal attributes:

• 6+ years of experience in developing and deploying large-scale machine learning models.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Software Engineer in Bing, this opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at deal structuring. You will work with appropriate stakeholders to determine user requirements for a feature, support identification of dependencies, and the development of design documents for a product feature with oversight. With guidance, you will learn to create and implement code for a product, service, or feature reusing code as applicable. You will assist and learn about breaking down work items into tasks and provide estimation. You will act as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommend actions to restore system/product/service by following the playbook.

Accountabilities

• Works with appropriate stakeholders to determine user requirements for a feature.
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.
• Assists and learns about breaking down work items into tasks and provides estimation.
• Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Proficiency in C, C++, C#, Java, JavaScript, or Python.

Personal attributes:

• Strong problem-solving skills.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Software Engineer II at their Leavenworth office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We're seeking a Software Engineer who thrive on consumer-focused innovation and enjoy tackling complex problems to build intuitive, impactful solutions. As a Software Engineer II, you will work with appropriate stakeholders to determine user requirements for a set of features. You will contribute to the identification of dependencies, and the development of design documents for a product area with little oversight. You will create and implement AI-native, secure, scalable code for a product, service, or feature, reusing code as applicable. You will contribute to efforts to break down larger work items into smaller work items and provide estimation. You will act as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems. You will remain current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Accountabilities

• Works with appropriate stakeholders to determine user requirements for a set of features.
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Creates and implements AI-native, secure, scalable code for a product, service, or feature, reusing code as applicable.
• Contributes to efforts to break down larger work items into smaller work items and provides estimation.
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with Web UI/JS libraries like React, Angular or similar.
• 1+ years of experience on Web front-end development, (React, Angular or similar) AND 3+ months experience vibe coding production quality code.

Personal attributes:

• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Ability to adapt to changing priorities and deadlines.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Software Co-Design AI HPC Systems at their Zürich office. This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem.

About the Role

Our team's mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost. Our work spans today's frontier AI workloads and directly shapes the next generation of accelerators, system architectures, and large-scale AI platforms. We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering.

Accountabilities

• Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.
• Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.

The Candidate we're looking for

Experience:

• Minimum 5 years of experience in software engineering, systems software, or a related field.

Technical skills:

• Proficiency in C++, Python, and/or other programming languages.
• Experience with AI frameworks, such as TensorFlow or PyTorch.
• Familiarity with hardware design and development.

Personal attributes:

• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. You'll work directly with leadership to deliver scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

About the Role

In this role, the Principal Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

Accountabilities

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.

Personal attributes:

• Proven experience in developing and deploying large-scale machine learning models.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Product Manager - AI Multimodal at their Paris office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Principal Product Manager - AI Multimodal, you will work at the nexus of product and research. Your products are the language and multimodal models that power Microsoft Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot's messages are high quality, factual and safe. You will also be responsible for prioritizing new features and research, working closely with AI researchers to build and execute project plans.

Accountabilities

• Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.
• Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.

The Candidate we're looking for

Experience:

• Minimum of 5 years of experience in working with AI researchers, product/technical program management, data analysis, or product development.

Technical skills:

• Proven track record as a Product Manager with first-hand experience evaluating and deploying LLMs into production.
• Experience working side-by-side with Researchers and/or Engineers.

Personal attributes:

• Thrive in a fast-paced, innovative environment.
• Passionate about managing high stakes time-sensitive large-scale programs.

Benefits

• Competitive salary and bonus structure.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff - Data Infra - MAI Superintelligence Team at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. The AI Data Infra team at Microsoft AI is responsible for building data infrastructure to help MAI teams to generate the biggest and best training dataset. Our work involves data pipelines, Spark, Ray, Vector Databases, and all other aspects of data infra. We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field.

Accountabilities

• Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
• Own and maintain critical data infrastructures, including spark, ray, vector databases, and others.
• Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Data engineering, data modeling, data science, software development, and data infrastructure.

Personal attributes:

• Passionate about the role of data in large-scale AI model training.
• Will thrive in a highly collaborative, fast-paced environment.
• Have a high degree of expertise and pay close attention to details.
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies.

Benefits

• Competitive salary range: $139,900 - $274,800 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.

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Microsoft AI are looking for a talented Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments.

About the Role

We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. Our team is responsible for Copilot, Bing, Edge, and generative AI research.

Accountabilities

• Design and develop next-generation hardware health monitoring and diagnostic frameworks for large GPU clusters (NVL16/NVL72/GB200+ scale).
• Build predictive analytics pipelines leveraging telemetry, power, and thermal data to anticipate hardware degradation and systemic issues.
• Collaborate with silicon, firmware, and datacenter engineers to identify root causes and remediate large-scale hardware anomalies.
• Define system health KPIs (e.g., NIS/RIS, MTBF, failure domain analysis) and integrate them into real-time observability platforms.
• Lead incident triage for high-impact GPU, network, and cooling issues across distributed clusters.
• Drive automation in health management to reduce manual intervention to the top 5% of anomalies.
• Partner with cross-functional teams to influence hardware design for reliability, thermal efficiency, and serviceability.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience working with large-scale HPC or GPU systems (NVIDIA H100/GB200 or equivalent).
• Deep understanding of GPU architecture, high-speed interconnects (NVLink, InfiniBand, RoCE), and large datacenter topologies.
• Proficiency in hardware telemetry, diagnostics, or failure analysis tools.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Product Manager to help build the next wave of capabilities of our personal AI, Copilot.

About the Role

As a Senior Product Manager, you’ll blend creativity, curiosity, and technical depth to help drive projects from concept to launch. You’ll partner closely with engineers, designers, other PMs, and AI researchers to turn ambiguous ideas into user-delighting experiences. You will:

Contribute to defining a product area by understanding user needs and behaviors, writing product requirements, and supporting end-to-end development, launches, and iterations.

Work through roadblocks and help teams ship quickly and iteratively.

Translate business goals into product strategy, user experience, and technical requirements in collaboration with UX and AI model teams.

Define success metrics, support experimentation, and use data to guide decisions.

Dive into data to understand user behavior, product performance, and new opportunities.

Communicate clearly and collaborate effectively across cross-functional teams.

Model our culture and values in daily work.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company’s quarterly strategic planning sessions

The Candidate we're looking for

Experience:

• 5+ years of experience in product management

Technical skills:

• Experience using AI tools to create products

Personal attributes:

• Demonstrated ability to collaborate effectively and contribute to an inclusive, growth-oriented team culture

Benefits

• Product Management IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year

• Certain roles may be eligible for benefits and other compensation

• Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft AI are looking for a talented Member of Technical Staff - Data Infra - MAI Superintelligence Team at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising haptic entertainment technology. You'll work directly with leadership to shape the company's direction in the cinema and simulation markets.

About the Role

We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who: Are passionate about the role of data in large-scale AI model training Will thrive in a highly collaborative, fast-paced environment Have a high degree of expertise and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Effectively manage multiple responsibilities and can adjust to shifting priorities.

Accountabilities

• Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
• Own and maintain critical data infrastructures, including spark, ray, vector databases, and others.

The Candidate we're looking for

Experience:

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.

Technical skills:

• 4+ years experience with data governance, data compliance and/or data security.

Personal attributes:

• A high degree of expertise and pay close attention to details.

Benefits

• Competitive salary range: $163,000 - $296,400 per year.
• Benefits and other compensation.
• Flexible work arrangements, including remote and hybrid options.

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Microsoft AI are looking for a talented Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are looking for a highly skilled and experienced engineer to join our Evaluations Engineering team. As a Member of Technical Staff, Evaluations Engineer, you will be responsible for developing and tuning the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures. You will also be responsible for benchmarking GB200 and AMD MIxxx GPU clusters, gathering data and insights to develop the pretraining compute roadmap, and caring deeply about conversational AI and its deployment.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year.

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Microsoft AI are looking for a talented Senior Product Manager at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI and simulation markets.

About the Role

As a Senior Product Manager, you'll blend creativity, curiosity, and technical depth to help drive projects from concept to launch. You'll partner closely with engineers, designers, other PMs, and AI researchers to turn ambiguous ideas into user-delighting experiences. You will:

Contribute to defining a product area by understanding user needs and behaviors, writing product requirements, and supporting end-to-end development, launches, and iterations.

Work through roadblocks and help teams ship quickly and iteratively.

Translate business goals into product strategy, user experience, and technical requirements in collaboration with UX and AI model teams.

Define success metrics, support experimentation, and use data to guide decisions.

Dive into data to understand user behavior, product performance, and new opportunities.

Communicate clearly and collaborate effectively across cross-functional teams.

Model our culture and values in daily work.

Accountabilities

• Conduct in-depth market research across cinema and simulation sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions

The Candidate we're looking for

Experience:

• 5+ years of experience in product management

Technical skills:

• Experience using AI tools to create products

Personal attributes:

• Demonstrated ability to collaborate effectively and contribute to an inclusive, growth-oriented team culture

Benefits

• Product Management IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year

• Certain roles may be eligible for benefits and other compensation

• Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft AI are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI and search markets.

About the Role

We're looking for passionate and experienced engineers and scientists to help us on our mission of employing deep learning to understand all the data on the web – the largest store of information in human history. With this understanding we power end-user experiences across a variety of NLP/Multi-modal related areas, especially RAG System powered by LLMs Generative answers with LLMs Build up the world-class AI systems with novel NLP techniques and engineering excellence. Explore cutting-edge AI technology and deliver both research and production impact.

Accountabilities

• Drive core technologies and E2E production delivery by leveraging State-of-Art AI technologies.
• Address challenges in products through Deep Learning and Reinforcement Learning approaches and transfer novel ideas to production applications.
• Develop deep learning models for Microsoft AI scenarios, including generative search and answers, knowledge experience, et al.
• Push the envelope on deep learning by: Defining problems and establishing metrics Gathering training data at scale Exploring model design and architecture Exploring learning objectives and tasks.

The Candidate we're looking for

Experience:

• 4+ years of working experience in NLP/search related areas.

Technical skills:

• Experiences in applying deep learning, LLM, RAG techniques and drive E2E AI product development.

Personal attributes:

• Passionate and self-motivated.
• Good communication skills, both verbal and written.

Benefits

• Work from the office at least four days per week.
• Health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

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Microsoft AI are looking for a talented Member of Technical Staff, Software Engineer to join their MAI SuperIntelligence team in Zürich, Switzerland. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, Software Engineer, you will design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management. You will standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency. You will implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry). You will architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage. You will enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.

Accountabilities

• Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
• Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.

The Candidate we're looking for

Experience:

• Strong software engineering background building reliable, scalable production systems (Python preferred).

Technical skills:

• Hands-on experience supporting large-scale ML / LLM training, evaluation, or experimentation infrastructure.
• Operating GPU-heavy workloads in cloud environments using Docker and Kubernetes (scheduling, utilization, isolation).
• Designing and running data / compute pipelines and orchestration (e.g., Airflow, Argo) with object storage (Azure Blob / S3).

Personal attributes:

• Building secure, reproducible platforms using CI/CD, infrastructure-as-code (Terraform, Helm), container security, and secrets management.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a talented team of engineers and researchers.
• Access to cutting-edge technology and resources.
• Flexible work arrangements, including remote work options.

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Microsoft AI are looking for a talented Software Engineer II at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We're seeking a Software Engineer who thrive on consumer-focused innovation and enjoy tackling complex problems to build intuitive, impactful solutions. As a Software Engineer II, you will work with appropriate stakeholders to determine user requirements for a set of features, contribute to the identification of dependencies, and the development of design documents for a product area with little oversight. You will create and implement AI-native, secure, scalable code for a product, service, or feature, reusing code as applicable. You will contribute to efforts to break down larger work items into smaller work items and provide estimation. You will act as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gain approval to restore system/product/service for simple problems. You will remain current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Accountabilities

• Works with appropriate stakeholders to determine user requirements for a set of features.
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Creates and implements AI-native, secure, scalable code for a product, service, or feature, reusing code as applicable.
• Contributes to efforts to break down larger work items into smaller work items and provides estimation.
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with Web UI/JS libraries like React, Angular or similar.

Personal attributes:

• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Ability to adapt to changing priorities and deadlines.

Benefits

• Competitive salary range of $100,600 - $199,000 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Paid time off and holidays.
• Opportunities for professional growth and development.

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Microsoft AI are looking for a talented Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments.

About the Role

We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. Our team is responsible for Copilot, Bing, Edge, and generative AI research. Join us and help shape the future of personal computing.

Accountabilities

• Design and develop next-generation hardware health monitoring and diagnostic frameworks for large GPU clusters (NVL16/NVL72/GB200+ scale).
• Build predictive analytics pipelines leveraging telemetry, power, and thermal data to anticipate hardware degradation and systemic issues.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Proficiency in hardware telemetry, diagnostics, or failure analysis tools.
• Experience with exascale-class systems or cloud-scale AI clusters.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary range: $139,900 - $274,800 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Model Design Staff - Language Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the field of artificial intelligence. You'll work directly with leadership to shape the company's direction in the development of AI solutions.

About the Role

As a Model Design Staff - Language Engineer, you will be responsible for designing and developing language models that can be used in a variety of applications, including chatbots, virtual assistants, and language translation systems. You will work closely with cross-functional teams to understand business requirements and develop models that meet those needs. You will also be responsible for testing and deploying models, as well as monitoring their performance and making recommendations for improvement.

Accountabilities

• Design and develop language models that meet business requirements
• Work closely with cross-functional teams to understand business needs and develop models that meet those needs
• Test and deploy models, and monitor their performance
• Make recommendations for model improvement

The Candidate we're looking for

Experience:

• 3+ years of experience in natural language processing or a related field
• Experience with deep learning and neural networks

Technical skills:

• Python programming language
• Experience with TensorFlow or PyTorch
• Knowledge of natural language processing and machine learning algorithms

Personal attributes:

• Strong problem-solving skills
• Excellent communication and collaboration skills
• Ability to work in a fast-paced environment

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technology and tools
• Flexible work arrangements

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Microsoft AI are looking for a talented Member of Technical Staff, Hardware Health, to ensure their AI training infrastructure delivers sustained reliability, performance, and availability across exascale-class deployments.

About the Role

This role is part of Microsoft AI's Superintelligence Team, which aims to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

As a Member of Technical Staff, Hardware Health, you will be responsible for advanced ROCE transport design, congestion control, ECN/WRED/DCTCP tuning, fabric architecture, topology planning, network modeling, and scaling strategy. You will also work with world-class network designers like NVIDIA, Broadcom, and in-house silicon/network co-design teams to develop and tune the deployment of novel routing techniques to achieve reliability in large networks.

Accountabilities

• Advanced ROCE transport design, congestion control, ECN/WRED/DCTCP tuning
• Fabric architecture, topology planning, network modeling, and scaling strategy

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• C, C++, C#, Java, JavaScript, or Python

Personal attributes:

• Embody our Culture and Values

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Enjoy working in a fast-paced, design-driven, product development cycle
• Embody our Culture and Values

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Microsoft AI are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI and search markets.

About the Role

We're looking for passionate and experienced engineers and scientists to help us on our mission of employing deep learning to understand all the data on the web – the largest store of information in human history. With this understanding we power end-user experiences across a variety of NLP/Multi-modal related areas, especially RAG System powered by LLMs Generative answers with LLMs Build up the world-class AI systems with novel NLP techniques and engineering excellence. Explore cutting-edge AI technology and deliver both research and production impact.

Accountabilities

• Drive core technologies and E2E production delivery by leveraging State-of-Art AI technologies.
• Address challenges in products through Deep Learning and Reinforcement Learning approaches and transfer novel ideas to production applications.
• Develop deep learning models for Microsoft AI scenarios, including generative search and answers, knowledge experience, et al.
• Push the envelope on deep learning by: Defining problems and establishing metrics Gathering training data at scale Exploring model design and architecture Exploring learning objectives and tasks.

The Candidate we're looking for

Experience:

• 4+ years of working experience in NLP/search related areas.

Technical skills:

• Experiences in applying deep learning, LLM, RAG techniques and drive E2E AI product development.

Personal attributes:

• Passionate and self-motivated.
• Good communication skills, both verbal and written.

Benefits

• Work from the office at least four days per week.
• Health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

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Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their Zürich office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

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Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of scientific and technical strategy for data-driven attribution and causal measurement across advertising systems. You will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem.

About the Role

As a Principal Applied Scientist, you will help define the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems. You will establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability. You will lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale. You will set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams. You will identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations. You will operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.

Accountabilities

• Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
• Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.
• Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.
• Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.
• Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.
• Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.

Personal attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment and prioritize multiple tasks.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff - Post Training - MAI Superintelligence Team at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising haptic entertainment technology. You'll work directly with leadership to shape the company's direction in the cinema and simulation markets.

About the Role

This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models.

Accountabilities

• Develop data collection, evaluation, and post-training methods for models.
• Design hypotheses and experiment plans for rapidly iterating on model performance.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with reward modeling, RL, or other post-training techniques.

Personal attributes:

• Passionate about advancing the state of post-training research.
• Willing to contribute meaningfully as individuals and take end-to-end ownership of projects.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and inclusive work environment.

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Microsoft AI are looking for a talented Member of Technical Staff - Data Research Engineer at their Redmond office. This role sits at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to develop novel data collection strategies, improve dataset quality and integrity, understand data-driven model behaviors, and align datasets with ethical and societal values.

About the Role

As a Data Research Engineer, you will be responsible for creating high-quality datasets for training and evaluation, running experiments on new datasets (data ablations) to assess their impact and determine the most effective data. You will also develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation. Additionally, you will analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement. You will build lightweight tools and workflows for dataset auditing, visualization, and versioning. You will collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Accountabilities

• Create high-quality datasets for training and evaluation
• Run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
• Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation
• Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

Technical skills:

• Proficiency in statistics and exploratory data analysis methods
• Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam

Personal attributes:

• Ability to communicate technical findings clearly to research and product teams

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Member of Technical Staff - Pretraining Text Data at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are seeking engineers and researchers to join our Pretraining Text Data team, where we are building the next generation of foundation large language models. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you. In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse text datasets critical to model development. You will lead efforts to:

• Develop novel data collection strategies
• Improve dataset quality and integrity
• Understand data-driven model behaviors
• Train models to understand the impact of data and data mixes
• Align datasets with ethical and societal values

Accountabilities

• Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
• Develop and maintain scalable data pipelines for text data ingestion, preprocessing, filtering, and annotation.
• Analyze real-world text datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.) OR equivalent experience.

Technical skills:

• Proficiency in statistics and exploratory data analysis methods.
• Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.

Personal attributes:

• Ability to communicate technical findings clearly to research and product teams.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technology and resources

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Microsoft AI are looking for a talented Applied Scientist 2 at their Beijing office. This role sits at the heart of Bing's search engine, designing systems that can search through hundreds of billions of documents in just milliseconds. You'll work alongside some of the brightest minds in the industry on projects that will make a lasting impact.

About the Role

As an Applied Scientist 2, you will design and implement highly scalable, low-latency, always-on services that power Bing search. You will quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features. You will influence architecture and design decisions across teams, driving best practices and common patterns. You will collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.

Accountabilities

• Design and implement highly scalable, low-latency, always-on services that power Bing search.
• Quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• 1+ years of programming experience in Python, C++, C#, or similar languages.
• Familiarity with data mining, machine learning, classification, clustering, or related areas.

Personal attributes:

• Ability to think creatively and deliver innovative solutions to complex problems.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user.

About the Role

As a Member of Technical Staff, you will design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG). You will apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups. You will hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.

Accountabilities

• Design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG).
• Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups.

The Candidate we're looking for

Experience:

• Bachelor’s degree in computer science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience building APIs and creating pipelines for large-scale products.
• Experience building and deploying machine learning or large language model (LLM) applications at scale.

Personal attributes:

• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year.

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Microsoft AI are looking for a talented Principal Product Manager at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI experiences. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Principal Product Manager for Vertical Knowledge Agents, you will define and drive the strategy for how our vertical domains evolve into intelligent, agentic ecosystems. You'll work across AI, data, and UX disciplines to design agentic systems that connect structured data and AI-generated insights into cohesive experiences that appear in Copilot, Windows Feed, Bing, and M365 surfaces. In this role, you'll collaborate with AI researchers, designers, and engineers to advance the agentic pipeline and develop Copilot-curated stories and autonomous domain-aware agents. You'll help shape the future of AI experiences by integrating advanced language models with authoritative content, influencing key product surfaces like Copilot, MSN, and Bing.

Accountabilities

• Define and drive the vision for Vertical Knowledge Agents that unify structured data, licensed MSN content, and AI grounding to deliver authoritative and contextual insights in Copilot, MSN, and Bing.
• Influence end-to-end product direction, from agent architecture and ranking frameworks to multimodal UX experiences.

The Candidate we're looking for

Experience:

• 8+ years experience in product/service/program management or software development.

Technical skills:

• Proven success in building data-driven or AI-powered products at scale.
• Demonstrated ability to translate complex AI/ML capabilities into intuitive user experiences.
• Technical fluency with LLM-based evaluation loops and Responsible AI practices.

Personal attributes:

• Deep passion for responsible and trustworthy AI.
• Understands model behavior, grounding, and feedback loops; collaborates effectively with AI research and data science.

Benefits

• Competitive salary range of USD $139,900 – $274,800 per year.
• Flexible hybrid options in Redmond, WA.
• Opportunities for professional development and growth within the company.

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Microsoft AI are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI-powered quality understanding and recommendation systems.

About the Role

As a Principal Applied Scientist, you'll lead the science behind Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes.

Accountabilities

• Lead content-quality understanding at scale.
• Advance the recommendation & ranking stack.
• Own evaluation and experimentation.
• Champion safety & trust.
• Scale E2E ML systems.
• Mentor & influence.
• Stay close to users.

The Candidate we're looking for

Experience:

• 6+ years related experience (e.g., statistics, predictive analytics, research).

Technical skills:

• Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval-augmented recommendation; familiarity with counterfactual learning and multi-objective optimization.

Personal attributes:

• Demonstrated ability to lead cross-disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped impact; mentoring scientists and setting technical vision.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are looking for a highly skilled and experienced Evaluations Engineer to join our team. As an Evaluations Engineer, you will be responsible for developing and tuning the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures. You will also be responsible for benchmarking GB200 and AMD MIxxx GPU clusters, gathering data and insights to develop the pretraining compute roadmap, and caring deeply about conversational AI and its deployment.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

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Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of advanced AI at web scale, shaping the future of key systems within Microsoft Ads, Copilot, and beyond. You'll design and implement state-of-the-art machine learning models and algorithms that power scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

About the Role

In this role, you will develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot. You will design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance. You will drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions. You will build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications. You will stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

Accountabilities

• Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
• Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.
• Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
• Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.

Personal attributes:

• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Software Engineer at their Suzhou office. This role sits at the forefront of innovation, building intelligent solutions that empower users across devices with seamless connections to Windows, M365, and Azure. You'll work directly with leadership to shape the company's direction in the AI-powered experiences.

About the Role

We are inviting you to join the Copilot Team, where we are redefining the future of AI-powered experiences. The Copilot Team is at the forefront of innovation, building intelligent solutions that empower users across devices with seamless connections to Windows, M365, and Azure. From AI-driven mobile applications to advanced cross-device capabilities, we are delivering transformative experiences.

Accountabilities

• Manage complex projects from conception to implementation, with a focus on delivering AI-driven user interfaces and performance-optimized web applications.
• Coordinate technical delivery through sprints, fostering collaboration throughout the project lifecycle.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Cloud and services experience, with Azure cloud experience.

Personal attributes:

• Excellent analytical skills with systematic and structured approach to software design.

Benefits

• Work closely with Product Designers, Product Managers, and Engineers to deliver AI-enhanced products that delight users.
• Drive team-wide investments in infrastructure and foundational systems to support long-term technical roadmaps.
• Solve technical challenges to deliver outstanding outcomes for customers and the business.

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Microsoft AI are looking for a talented Senior Product Marketing Manager at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising intelligent monetization technology. You'll work directly with leadership to shape the company's direction in the advertising and publisher markets.

About the Role

As a Senior Product Marketing Manager, you will lead customer listening, go-to-market strategy, positioning, and adoption for one or more critical areas within our Publisher and Platform portfolio. This could include products such as Microsoft Clarity, Microsoft Monetize, Microsoft Curate, third-party DSP integrations, privacy and identity solutions, and CRM/martech solutions. You will partner closely with product management, sales, and marketing teams to shape product direction, craft compelling value propositions, and drive adoption through thoughtful go-to-market execution.

Accountabilities

• Conduct in-depth market research across advertising and publisher sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Define and evolve differentiated product positioning and value propositions that resonate with customer needs and business outcomes

The Candidate we're looking for

Experience:

• 3+ years of experience in Product Marketing, Product Management, or similar roles, leading cross-organizational teams and working with Engineering partners

Technical skills:

• Experience in applying different customer listening approaches to inform and influence product development
• Experience in product positioning and value proposition, with experience in leading differentiated value propositions and translation

Personal attributes:

• Growth mindset and inclusive thinking
• Proactive and self-motivated

Benefits

• Competitive salary and bonus structure
• Comprehensive health and wellbeing benefits
• Professional development opportunities
• Flexible work arrangements

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Microsoft AI are looking for a talented Senior Product Manager at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising search technology. You'll work directly with leadership to shape the company's direction in the search market.

About the Role

As a Senior Product Manager at Microsoft AI, you will be responsible for driving product features that bridge traditional search and an AI-first world, ensuring coherence across experiences. You will bring solid UX judgment, paired with enough backend understanding to make sound product tradeoffs. You will be AI-first in everything you do—from analysis and problem framing to solution design—while understanding the probabilistic nature of AI systems.

Accountabilities

• Understand how users really use search—what satisfies them, what frustrates them, and what drives long-term business outcomes.
• Drive product features that bridge traditional search and an AI-first world, ensuring coherence across experiences.

The Candidate we're looking for

Experience:

• 5+ years experience in product/service/program management or software development OR equivalent experience.

Technical skills:

• Solid UX and product craft instincts, including experience shaping layouts, interaction patterns, or end-to-end user journeys.
• Hands-on experience with experimentation frameworks (A/B testing, staged rollouts, hypothesis-driven development).

Personal attributes:

• Ability to influence outcomes through storytelling, insights, and judgment, rather than formal authority.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

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Microsoft AI are looking for a talented Member of Technical Staff, Hardware Health, at their London office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI training infrastructure technology. You'll work directly with leadership to shape the company's direction in the AI and simulation markets.

About the Role

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

As a Member of Technical Staff, Hardware Health, you will be responsible for ensuring the sustained reliability, performance, and availability of our AI training infrastructure. This includes developing predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale.

Accountabilities

• Advanced ROCE transport design, congestion control, ECN/WRED/DCTCP tuning
• Fabric architecture, topology planning, network modeling, and scaling strategy

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Proficiency in C, C++, C#, Java, JavaScript, or Python

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Enjoy working in a fast-paced, design-driven, product development cycle

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Microsoft AI are looking for a talented Member of Technical Staff, High Performance Computing Engineer at their London office. This role sits at the heart of building and scaling the infrastructure that trains their frontier models and powers the next evolution of their personal AI, Copilot. You'll work directly with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.

About the Role

As a Member of Technical Staff, High Performance Computing Engineer, you will design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings. You will own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale. You will serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.

Accountabilities

• Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.
• Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.
• Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters.
• 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.).
• 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.

Technical skills:

• Experience with LLM training clusters.
• Experience working with AI platforms, frameworks, and APIs.
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.

Personal attributes:

• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a leading technology company and contribute to HERE's mission.
• Collaborative and dynamic work environment.
• Professional development opportunities.

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Microsoft AI are looking for a talented Senior Growth Marketing Manager at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Growth Marketing Manager, you will be responsible for developing and executing high-impact strategies to drive customer acquisition, engagement, and retention. This role requires an individual with a solid analytical and entrepreneurial mindset and a proven track record in KPI-driven growth marketing utilizing a modern-day MarTech stack. The ideal candidate will have a deep understanding of digital marketing, customer journey design, and experimentation, with a focus on data-driven insights to drive campaign optimizations and efficiencies.

Accountabilities

• Develop and implement comprehensive marketing strategies that drive growth across the entire customer funnel from acquisition, engagement, to retention.
• Analyze and interpret complex data sets to establish key growth metrics and identify optimization opportunities to continually improve performance.

The Candidate we're looking for

Experience:

• 3+ years integrated marketing (e.g., digital, relationship, social media, campaign), event management, marketing strategy, business planning, marketing operations, or related work experience.

Technical skills:

• Data analysis or business intelligence tools (e.g., Excel, Power BI, Tableau) to inform strategic decisions or optimize business processes.
• Proficiency in SQL to write queries for data pulling and analysis.

Personal attributes:

• Ability to thrive in a fast-paced, dynamic environment and manage multiple high-priority projects simultaneously.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Senior Product Manager at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI era.

About the Role

As a Senior Product Manager, you will contribute to defining a product area by understanding user needs and behaviors, writing product requirements, and supporting end-to-end development, launches, and iterations. You will identify long-term investment opportunities and drive business impact across the organization. You will work through roadblocks and help teams ship quickly and iteratively. You will translate business goals into product strategy, user experience, and technical requirements in collaboration with UX and engineering. You will define success metrics, support experimentation, and use data to guide decisions. You will dive into data to understand user behavior, product performance, and new opportunities. You will communicate clearly and collaborate effectively across cross-functional teams. You will model our culture and values in daily work.

Accountabilities

• Contribute to defining a product area by understanding user needs and behaviors, writing product requirements, and supporting end-to-end development, launches, and iterations.
• Identify long-term investment opportunities and drive business impact across the organization.

The Candidate we're looking for

Experience:

• 5+ years experience in product/service/program management or software development.

Technical skills:

• Experience with AI.
• Experience with Grounding, Ranking, Query Understanding.
• Experience in the Search space.

Personal attributes:

• Strong communication and collaboration skills.
• Ability to work in a fast-paced environment.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Recognition and rewards for outstanding performance.

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Microsoft AI are looking for a talented Technical Program Manager to help bring our vision to life. Ideal candidates will deeply understand cloud infrastructure, distributed systems, and the deployment of AI/ML workloads on Azure.

About the Role

As a Technical Program Manager on our team, you will coordinate projects and programs across the Microsoft AI team and Azure infrastructure teams, including end-to-end planning, timelines, milestones, performance metrics, and resource needs. You will collaborate with product teams, engineers, researchers, and partners to drive the AI teams interests, identify gaps and drive timelines toward resolution and mitigation. You will leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs.

Accountabilities

• Coordinate projects and programs across the Microsoft AI team and Azure infrastructure teams, including end-to-end planning, timelines, milestones, performance metrics, and resource needs.
• Collaborate with product teams, engineers, researchers, and partners to drive the AI teams interests, identify gaps and drive timelines toward resolution and mitigation.

The Candidate we're looking for

Experience:

• 6+ years' experience in technical program management, cloud infrastructure engineering, AI/ML, or product development.

Technical skills:

• Deep understanding of cloud infrastructure, distributed systems, and the deployment of AI/ML workloads on Azure.

Personal attributes:

• Proactive attitude and enthusiasm for exploring new methods and technologies in cloud and AI.

Benefits

• Competitive salary range: $139,900 - $274,800 per year.
• Benefits and other compensation.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Recognition and rewards for outstanding performance.

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Microsoft AI are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technologies. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Applied Scientist, you will design and implement highly scalable, low-latency, always-on services that power Bing search. You will quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features. You will influence architecture and design decisions across teams, driving best practices and common patterns. You will collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.

Accountabilities

• Design and implement highly scalable, low-latency, always-on services that power Bing search.
• Quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• 4+ years of programming experience in Python, C++, C#, or similar languages.
• Familiarity with data mining, machine learning, classification, clustering, or related areas.

Personal attributes:

• Ability to think creatively and deliver innovative solutions to complex problems.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff, AI Multimodal at their Zürich office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Multimodal, you will be responsible for developing algorithms, designing model architectures, conducting experiments, championing measurement and evaluation, innovating datasets and data pipelines. You will improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not. You will follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. You will innovate and iterate over ideas, prototypes, and product. You will collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. You will advance the AI frontier responsibly. You will embody our culture and values.

Accountabilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.

Technical skills:

• Expertise in multimodal research with a strong publishing track record

Personal attributes:

• Strong analytical skills, attention to detail, and a commitment to data-driven decision-making
• Ability to work collaboratively in a fast-paced, innovative environment

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location
• Health and wellbeing benefits
• Professional development opportunities
• Financial benefits (bonus, equity, pension, etc.)
• Cultural perks (team events, office amenities, etc.)

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are seeking a highly skilled and experienced engineer to join our team as a Member of Technical Staff, Multimodal Infrastructure. The successful candidate will be responsible for designing, developing, and maintaining large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. They will work closely with research scientists and product engineers to solve infra-related problems and find a path to get things done despite roadblocks to get their work into the hands of users quickly and iteratively.

Accountabilities

• Design, develop, and maintain large-scale multimodal data processing pipelines.
• Design, develop, and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop, and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and tools.
• Flexible work arrangements.

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Microsoft AI are looking for a talented Business Administrator at their Redmond office. This role sits at the heart of supporting managers and the broader organization within our Search Growth and Experiences team. You'll work directly with leadership to shape the company's direction in the technology industry.

About the Role

As a Business Administrator, you will provide calendar management and time-planning support for multiple executives, aligning calendars based on executives' preferences, priorities, and operating styles. You will also manage community space and conference room calendars as needed, including troubleshooting audio, video, and technical issues during meetings as needed. Ensure meetings are fully prepared, including room booking and AV/technical setup.

Accountabilities

• Provide calendar management and time-planning support for multiple executives, aligning calendars based on executives' preferences, priorities, and operating styles.
• Manage community space and conference room calendars as needed, including troubleshooting audio, video, and technical issues during meetings as needed.

The Candidate we're looking for

Experience:

• 2+ years of experience in administrative, business support, and/or related fields.

Technical skills:

• Proficient in Microsoft Office Suite, including Excel, Word, and PowerPoint.
• Experience with calendar management tools, such as Microsoft Exchange or Google Calendar.

Personal attributes:

• Excellent communication and interpersonal skills.
• Ability to work in a fast-paced environment and prioritize multiple tasks.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff - Post Training - MAI Superintelligence Team at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models.

Accountabilities

• Develop data collection, evaluation, and post-training methods for models.
• Design hypotheses and experiment plans for rapidly iterating on model performance.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with reward modeling, RL, or other post-training techniques.

Personal attributes:

• Passionate about advancing the state of post-training research.
• Willing to contribute meaningfully as individuals and take end-to-end ownership of projects.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and inclusive work environment.
• Access to cutting-edge technology and resources.

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Microsoft AI are looking for a talented Member of Technical Staff - Principal Backend Engineer, Copilot Memory and Personalization at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Principal Backend Engineer, you will design and evolve large-scale data architectures that support Copilot memory and personalization, spanning batch, streaming, and serving paths. You will build and operate high-quality personalization and memory data pipelines, including signal ingestion, normalization, enrichment, aggregation, memory generation, and full lifecycle management. You will enable memory and personalization features by exposing well-designed datasets, APIs, and feature interfaces for downstream product and ML consumers. You will work closely with PMs, applied ML, and product engineering to translate product intent into robust data systems and measurable outcomes. You will act as a technical leader for memory and personalization data systems, influencing architecture and standards across multiple teams. You will lead design reviews, unblock complex technical problems, and make principled trade-offs in ambiguous spaces.

Accountabilities

• Design and evolve large-scale data architectures that support Copilot memory and personalization, spanning batch, streaming, and serving paths.
• Build and operate high-quality personalization and memory data pipelines, including signal ingestion, normalization, enrichment, aggregation, memory generation, and full lifecycle management.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Experience building and deploying machine learning or large language model (LLM) applications at scale.
• Experience designing and implementing large-scale embedding, retrieval, and ranking systems.

Personal attributes:

• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year.

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Microsoft AI are looking for a talented Principal Software Engineer at their Vancouver office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Principal Software Engineer, you will be responsible for designing and developing scalable backend systems, making key architectural decisions, and collaborating with multiple teams to deliver impactful solutions. You will contribute to shopping features in Copilot, Bing, and Edge browser, working closely with Product Management and Design teams. Your primary focus will be on building robust, long-lasting solutions that meet the needs of our customers.

Accountabilities

• Partners with appropriate stakeholders to determine user requirements for a set of scenarios.
• Leads identification of dependencies and the development of design documents for a product, application, service, or platform.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proficiency in designing and scaling high-throughput distributed systems and robust data pipelines.

Personal attributes:

• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.

Benefits

• Competitive salary range of CAD $142,400 – CAD $257,500 per year.
• Opportunity to work on cutting-edge AI technology.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Principal Product Manager at their Bengaluru office. This role sits at the heart of strategic decision-making, turning model capabilities into specific product features, defining MVPs, and refining them using user and business metrics. You'll work directly with applied science, engineering, and design to turn AI research into practical products that scale and serve users well.

About the Role

As a Principal Product Manager, you will define and deliver on the strategic roadmap and vision across multiple initiatives. Identify user workflows where AI adds clear value, basing decisions on data and user feedback. Turn model capabilities into specific product features, define MVPs, and refine them using user and business metrics. Work directly with applied science, engineering, and design to turn AI research into practical products that scale and serve users well. Create and use evaluation methods to track product quality, user experience, and safety throughout development. Write clear documents to keep stakeholders aligned on product goals, priorities, and decisions. Promote adoption by representing Microsoft AI at industry events, showing how technical features translate into user benefits and growth. Make informed decisions in uncertain situations, manage risks and incidents, and support continuous improvement through postmortem review.

Accountabilities

• Define and deliver on the strategic roadmap and vision across multiple initiatives.
• Identify user workflows where AI adds clear value, basing decisions on data and user feedback.

The Candidate we're looking for

Experience:

• 8+ years experience in product/service/program management or software development.

Technical skills:

• Familiarity with experimentation tools, data analytics, and strong in vibe coding / working knowledge of coding (Python, JavaScript, SQL).

Personal attributes:

• Entrepreneurial mindset, possesses a high energy level to react to situations quickly and decisively, possessing self-confidence to be assertive when taking a position, not afraid to make decisions.

Benefits

• Starting January 26, 2026, Microsoft AI employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.

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Microsoft AI are looking for a talented Principal Software Engineer at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising intelligent platforms for content creators. You'll work directly with leadership to shape the company's direction in the content ecosystem.

About the Role

We are the MSN Content Ecosystem team under the Microsoft AI Department, building an intelligent platform for content creators. Our platform supports partner/brand onboarding, content ingestion, engagement data analysis and visualization, revenue sharing computation, and payment processing. We leverage AI to empower creators through: Customer Service Chatbot: Quickly answers any MSN partner hub related questions; Data Insight Analyzer: Analyzes revenue, content, and user data to help partners identify high-performing content patterns and optimize strategies. We are looking for a passionate and experienced Software Engineer to join us and drive the platform’s intelligence and scalability.

Accountabilities

• Design and develop core platform services for partner content onboarding, lifecycle management, data analytics, and revenue computation, ensuring correctness, extensibility, and measurable business impact.
• Lead architectural design and hands-on implementation of scalable distributed systems; drive high-quality engineering through design reviews, code reviews, testing, and secure-by-design practices.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Solid computer science fundamentals and background knowledge in AI.

Personal attributes:

• Solid communication skills and a collaborative mindset.

Benefits

• Work from the office at least four days per week.
• Health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

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Microsoft AI are looking for a talented Member of Technical Staff, Developer Experience to help build the next wave of capabilities of our personalized AI assistant, Copilot.

About the Role

We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Accountabilities

• Design, implement, and optimize CI/CD pipelines for large-scale ML training workloads.
• Build developer tools and automation to simplify training and evaluation workflows.
• Improve and maintain core infrastructure across multi-cloud environments.
• Deploy and manage model hosting systems for inference and data generation.
• Collaborate with cross-functional teams to drive best practices in reliability, testability, and performance.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Proficiency in C, C++, C#, Java, JavaScript, or Python.

Personal attributes:

• Ability to work in a fast-paced, design-driven, product development cycle.

Benefits

• Competitive salary range: $139,900 - $274,800 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We're looking for someone who will design, develop and maintain large-scale multimodal data processing pipelines, model pretraining and post-training frameworks, and model inference and serving frameworks. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components.

Accountabilities

• Design, develop and maintain large-scale multimodal data processing pipelines.
• Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks.
• Design, develop and maintain large-scale multimodal model inference and serving frameworks.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations.
• Experience with state-of-art model inference and serving frameworks.
• Experience with image/video/audio data processing.
• Experience with common data formats for efficient I/O.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Comprehensive health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).

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Microsoft AI are looking for a talented Member of Technical Staff - Post Training - MAI Superintelligence Team at their Mountain View office. This role sits at the heart of post-training and improving pre-trained models to advance the state-of-the-art on a wide variety of internal and external benchmarks. You'll work on the bleeding edge and leverage the most powerful pretrained models and algorithms for your needs.

About the Role

This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. You will design hypotheses and experiment plans for rapidly iterating on model performance. You will work on the bleeding edge and leverage the most powerful pretrained models and algorithms for your needs.

Accountabilities

• Develop data collection, evaluation, and post-training methods for models.
• Design hypotheses and experiment plans for rapidly iterating on model performance.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with reward modeling, RL, or other post-training techniques.

Personal attributes:

• Passionate about advancing the state of post-training research.
• Will thrive in a highly collaborative, fast-paced environment.

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more.

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Microsoft AI are looking for a talented Software Engineering IC3 at their Bengaluru office. This role sits at the heart of building the next-gen Grounding solution that can change how the world interacts with AI search. You'll work directly with the Search Technology Center team to design, code, and own software and services to enable high performant, delightful search experiences and applications.

About the Role

As a Software Engineer II on this team, you will be responsible for designing, coding, and owning software and services to enable high performant, delightful search experiences and applications. You will be engineering these solutions while enabling solid engineering practices including CI-CD, automation tooling, and telemetry insights across our endpoints. You will be working in a collaborative and fun environment with peers across disciplines including PMs, designers, developers, and data scientists.

Accountabilities

• Work on high QPS, low latency online services.
• Be able to think end-to-end to provide the most optimal solutions.
• Architect, design and develop secure, scalable, and resilient solutions.
• Work closely with design and PM teams, able to collaborate across disciplines.
• Mentor other developers on the team.
• Participate and drive code/design reviews.
• Help the team in making decisions on adopting the appropriate technical stack.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience working as a full-stack developer.
• Experience with releasing 3P APIs.
• Experience with latency optimizations.

Personal attributes:

• Strong problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Recognition and rewards for outstanding performance.

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Microsoft AI are looking for a talented Member of Technical Staff, Data Research Engineer to join their MAI Superintelligence Team in London. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Data Research Engineer, you will be responsible for creating high-quality datasets for training and evaluation, running experiments on new datasets to assess their impact, and developing and maintaining scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation. You will also analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement. Additionally, you will build lightweight tools and workflows for dataset auditing, visualization, and versioning, and collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.

Accountabilities

• Create high-quality datasets for training and evaluation
• Run experiments on new datasets to assess their impact and determine the most effective data
• Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation

The Candidate we're looking for

Experience:

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field
• Technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

Technical skills:

• Proficiency in statistics and exploratory data analysis methods
• Familiarity with data processing frameworks such as Spark, Ray, Apache Beam

Personal attributes:

• Ability to communicate technical findings effectively to research and product teams

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Member of Technical Staff - Principal Software Engineer at their London office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising health and wellbeing technology. You'll work directly with leadership to shape the company's direction in the health and wellbeing markets.

About the Role

As a Member of Technical Staff - Principal Software Engineer, you will collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world. You will own the end-to-end development of features, from ideation and specification through to deployment and iteration. You will design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture. You will work independently across a wide range of our stack, shipping delightful user experiences. You will ensure resilience, maintainability, and security above all else. You will build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you. You will guide peers, contributing to a culture of technical excellence and continuous improvement.

Accountabilities

• Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world.
• Own the end-to-end development of features, from ideation and specification through to deployment and iteration.

The Candidate we're looking for

Experience:

• Bachelor's or Higher Degree in Computer Science, or related technical discipline.
• Strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Typescript, Swift, Kotlin.

Technical skills:

• Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI.

Personal attributes:

• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a world-class team of engineers and researchers.
• Access to cutting-edge technology and tools.
• Flexible working hours and remote work options.

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Microsoft AI are looking for a talented Senior Software Engineer at their Mountain View office. This role sits at the heart of strategic decision-making, turning programmatic advertising data into actionable insights for a company that's revolutionising global scale data infrastructure. You'll work directly with leadership to shape the company's direction in the software development lifecycle.

About the Role

The Budget Optimization Engineering team at Microsoft builds the real-time data infrastructure that powers programmatic advertising at global scale. The team owns Java-based microservices handling budget distribution, campaign discovery and ranking, bid-price optimization, Kafka-based streaming pipelines, and job orchestration — across datacenters. We are looking for a Senior Software Engineer to join this team and drive a significant Azure migration: moving services from legacy infrastructure (Concourse CI, internal Artifactory, Maestro) to modern Azure tooling (Azure DevOps, ACR, AKS).

Accountabilities

• Design and build highly scalable backend services and data pipelines that support privacy-preserving measurement and analytics scenarios using Java, Python (and C# where applicable).
• Maintain and improve production services across the optimization platform — including Kafka streaming pipelines, budget controllers, job orchestration (job-broker), and deal monitoring — with a focus on reliability and strict SLA adherence.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, Go, or Python.

Technical skills:

• Apache Kafka — solid understanding of consumers, producers, offset management, partition strategies, performance tuning, and cross-datacenter replication patterns.
• Kubernetes — production experience writing and deploying Helm charts; hands-on with Deployments, StatefulSets, Services, ConfigMaps, Secrets, Jobs, and HPAs; comfortable with multi-cluster and multi-datacenter environments.

Personal attributes:

• Strong problem-solving skills and ability to work independently.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Member of Technical Staff, AI Networking to design and scale the world's most advanced high-performance networks powering Copilot and next-generation AI systems.

About the Role

As a Member of Technical Staff, AI Networking, you will be responsible for designing and scaling the world's most advanced high-performance networks powering Copilot and next-generation AI systems. You will work with world-class network designers like NVIDIA, Broadcom, and in-house silicon/network co-design teams to develop and tune the deployment of novel routing techniques to achieve reliability in large networks. You will also gather data and insights to develop the pretraining compute roadmap and find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Accountabilities

• Advanced ROCE transport design, congestion control, ECN/WRED/DCTCP tuning
• Fabric architecture, topology planning, network modeling, and scaling strategy

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• C, C++, C#, Java, JavaScript, or Python

Personal attributes:

• Embody our Culture and Values

Benefits

• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.
• Enjoy working in a fast-paced, design-driven, product development cycle

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Microsoft AI are looking for a talented Director, AI Data Strategy and Operations at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Director, AI Data Strategy and Operations, you will lead post-training data collection, including vendor selection, contract negotiation, and management. You will act as primary data operations POC for key research efforts and pillars, with particular focus on post-training domains. You will support data operations across human data vendors, including tracking POs, spend, amortization schedules, and milestone delivery. You will coordinate cross-functional initiatives across Business Development, Procurement, Legal, Compliance, Finance, and Engineering.

Accountabilities

• Lead post-training data collection (e.g. human evals, training data), including vendor selection, contract negotiation, and management.
• Act as primary data operations POC for key research efforts and pillars, with particular focus on post-training domains.
• Support data operations across human data vendors, including tracking POs, spend, amortization schedules, and milestone delivery.
• Coordinate cross-functional initiatives across Business Development, Procurement, Legal, Compliance, Finance, and Engineering.

The Candidate we're looking for

Experience:

• Master's Degree in Business Administration or related field AND 3+ years strategy or finance, data operations, program/technical program management, procurement, or finance integration, OR Bachelor's Degree in Business, Finance, Economics, Computer Science, or related field AND 4+ years strategy or finance, data operations, program/technical program management, procurement, or finance integration, OR equivalent experience.

Technical skills:

• Proven experience in leading large, cross-functional programs and strategically managing AI data vendor relationships.
• Expertise in managing data operations for AI research organizations and working closely with scientists on data collections.

Personal attributes:

• Demonstrated ability to maintain oversee budget/impact tracking systems and cross-functional programs.
• Experience leading large-scale multimodal data programs for AI research organizations.

Benefits

• Business Strategy IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 per year.
• Business Strategy IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 per year.

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