The ideal candidate will have deep knowledge of current privacy and technology trends, with a strong passion for data governance/management and AI/ML. They will have demonstrated experience in ensuring privacy-by-design principles are applied throughout the design, construction, and operation of digital products and services at scale.

Responsibilities include leading high-impact initiatives and defining technical requirements for compliance and the responsible use of technology at Airbnb. The candidate will work closely with the Chief Privacy Officer, Legal, and other Privacy & Data Security Team members, as well as engineering and data science teams.

Key responsibilities include:

• Collaborating with technical teams in the identification and effective management of company-wide risks to privacy and the responsible use of technology
• Leading definition and implementation of company-wide standards, practices, and patterns to protect and manage personal data in accordance with privacy and AI regulations
• Working with Legal, Data Science, Data Governance, and InfoSec to introduce Privacy by Design principles in company products and infrastructure
• Creating privacy training for technical roles, including data engineers, developers, and data scientists

Requirements include:

• 15+ years of total experience, with 5+ years of experience in technical program/project management or privacy engineering focused on building technology products and/or systems
• Deep understanding of large-scale, “Big Data” data stores and technologies
• Strong familiarity with the AI/ML development lifecycle: from data collection and curation, through model architecture selection, training, testing, A/B testing, and deployment
• Solid understanding of Large Language Models (LLMs), Generative AI and AI Agents, including compliance and responsible use challenges arising from their deployment in B2C services
• Strong familiarity with Privacy Enhancing Technologies (PETs), such as various types of encryption, de-identification methods (e.g., k-anonymity, differential privacy), and AI/ML interpretability techniques (e.g., SHAP, LIME)

Preferred qualifications include:

• Professional certifications such as Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), or AI Governance Professional (AIGP) or equivalent
• BA/BS and/or advanced degree in engineering, computer science, mathematics, statistics, physics, or a related field
• Experience with programming languages and tools commonly used in AI, such as R, Python and Github

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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Responsibilities:

• Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
• Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
• Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI
• Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
• Collaborate to translate experimental requirements into production-ready infrastructure
• Develop large scale data pipelines to handle advanced language model training requirements
• Optimize large scale training and inference pipelines for stable and efficient reinforcement learning

You may be a good fit if you:

• Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems
• Are a strong communicator and enjoy working collaboratively
• Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads
• Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale
• Have proven track record of building large-scale data pipelines and distributed storage systems
• Excel at diagnosing and resolving complex infrastructure challenges in production environments
• Can work effectively across the full ML stack from data pipelines to performance optimization
• Have experience collaborating with other researchers to scale experimental ideas
• Thrive in fast-paced environments and can rapidly iterate from experimentation to production

Strong candidates may also have:

• Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)
• Background in building infrastructure for AI research labs or large-scale ML organizations
• Knowledge of GPU/TPU architectures and language model inference optimization
• Experience with cloud platforms (AWS, GCP) at enterprise scale
• Familiarity with VM and container orchestration
• Experience with workflow orchestration tools and experiment management systems
• History working with large scale reinforcement learning
• Comfort with large scale data pipelines (Beam, Spark, Dask, …)

The annual compensation range for this role is $350,000-$850,000 USD.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

Our team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.

About the role

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.

Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.

Responsibilities:

• Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
• Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
• Scaling research ideas from prototype to production
• Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
• Implement distributed training systems and performance optimisations to support large-scale model development

You may be a good fit if you:

• Have 8+ years of ML research experience
• Are familiar with large scale language model training, evaluation, and inference pipelines
• Enjoy obsessively iterating on immediate blockers towards longterm goals
• Thrive working collaboratively to solve problems
• Have expertise in performance optimisation and distributed computing systems
• Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Can translate research concepts into scalable engineering solutions
• Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

Strong candidates may also have:

• Expertise with performance optimisation for language model inference and training
• Experience with computer use automation and agentic AI systems
• A history working on reinforcement learning approaches for complex task completion
• Knowledge of containerisation technologies (Docker, Kubernetes) and cloud deployment at scale
• Demonstrated ability to work across multiple domains (language modelling, systems engineering, scientific computing)
• Have experience with VM/sandboxing/container deployment and large-scale data processing
• Experience working with large scale data problem solving and infrastructure
• Published research or practical experience in scientific AI applications or long-horizon reasoning

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science.

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As a Research Engineer on our team, you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines.

Responsibilities:

• Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
• Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
• Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI.
• Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
• Collaborate to translate experimental requirements into production-ready infrastructure
• Develop large scale data pipelines to handle advanced language model training requirements
• Optimize large scale training and inference pipelines for stable and efficient reinforcement learning

You may be a good fit if you:

• Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems
• Are a strong communicator and enjoy working collaboratively
• Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads
• Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale
• Have proven track record of building large-scale data pipelines and distributed storage systems
• Excel at diagnosing and resolving complex infrastructure challenges in production environments
• Can work effectively across the full ML stack from data pipelines to performance optimization
• Have experience collaborating with other researchers to scale experimental ideas
• Thrive in fast-paced environments and can rapidly iterate from experimentation to production

Strong candidates may also have:

• Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)
• Background in building infrastructure for AI research labs or large-scale ML organizations
• Knowledge of GPU/TPU architectures and language model inference optimization
• Experience with cloud platforms (AWS, GCP) at enterprise scale
• Familiarity with VM and container orchestration.
• Experience with workflow orchestration tools and experiment management systems
• History working with large scale reinforcement learning
• Comfort with large scale data pipelines (Beam, Spark, Dask, …)

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale projects, and we're committed to making a positive impact on the world.

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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 are looking for a talented Principal 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 Principal Software Engineer, you will be responsible for architecting scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot's behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. 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 embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.
• Build real-time and batch personalization engines that adapt Copilot's behavior.
• Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.

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 with large scale data systems.
• 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.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.

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 Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot's intelligence.

About the Role

As a Principal Software Engineer, you will work across Microsoft AI and Copilot teams to build scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot's behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. 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, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.

The Candidate we're looking for

Experience:

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

Technical skills:

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

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary.
• Benefits and other compensation.
• Opportunity to work on cutting-edge AI projects.
• Collaborative and inclusive work environment.
• Professional development opportunities.
• Flexible work arrangements.

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Microsoft AI are looking for a talented Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot's intelligence.

About the Role

As a Principal Software Engineer, you will work across Microsoft AI and Copilot teams to build scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot's behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. 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, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.

The Candidate we're looking for

Experience:

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

Technical skills:

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

Personal attributes:

• Methodical approach to problem-solving.
• Ability to identify, analyze, and resolve complex technical issues.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams.

Benefits

• Competitive salary.
• Benefits and other compensation.

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Microsoft are looking for a talented Senior Software Engineer to join their Microsoft AI, Copilot team in Mountain View. 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 on the Microsoft AI, Copilot team, you will be responsible for designing and developing distributed systems and APIs that power adaptive, context-aware experiences across Microsoft AI. You will work across Microsoft AI and Copilot teams to build real-time and batch personalization engines that adapt Copilot's behavior. You will also collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.

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.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.

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:

• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary range of $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 dynamic work environment.
• Access to cutting-edge technology and tools.
• Flexible work arrangements, including remote work options.

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Microsoft AI are looking for a talented Member of Technical Staff - Copilot Data & Insights 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 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 - Copilot Data & Insights, you will be responsible for architecting scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights. You will design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features. You will own orchestration, monitoring, and DevOps for critical data workflows. You will design data models and APIs that enable customer loop insights using LLM(s). You will collaborate with privacy, security, and responsible AI teams to ensure customer insight is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. 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, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights.
• Design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features.

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 with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

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 - Copilot Data & Insights 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 Member of Technical Staff - Copilot Data & Insights, you will be responsible for architecting scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights. You will design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features. You will own orchestration, monitoring, and DevOps for critical data workflows. You will design data models and APIs that enable customer loop insights using LLM(s). You will collaborate with privacy, security, and responsible AI teams to ensure customer insight is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. 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, design-driven, product development cycle. You will embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights.
• Design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features.

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 with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

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 - Copilot Data & Insights 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

This role focuses on building data pipelines, applications on customer-centric, automatically process customers insights using LLM(s) on Copilot and its features, generating insights, on top of Azure environments, dashboards, reporting and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals — while preserving privacy, security, performance, and scale.

Accountabilities

• Architect scalable, low-latency systems/data pipelines for ingesting, processing using LLM(s), and serving customer insights.
• Design, build, and maintain robust pipelines for product usage, provide insights to improve Copilot features.

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 with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

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 Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot's intelligence.

About the Role

As a Principal Software Engineer, you will work across Microsoft AI and Copilot teams to build scalable, low-latency systems for ingesting, processing, and serving personalized signals. You will design data models and APIs that enable Copilot to reason about user context, preferences, and history. You will build real-time and batch personalization engines that adapt Copilot's behavior. You will collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled. You will optimize for performance, reliability, and cost across diverse workloads and geographies. You will ship high-quality, well-tested, secure, and maintainable code. 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 embody our Culture and Values.

Accountabilities

• Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
• Design data models and APIs that enable Copilot to reason about user context, preferences, and history.

The Candidate we're looking for

Experience:

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

Technical skills:

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

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary.
• Benefits and other compensation.
• Opportunities for professional growth and development.
• A positive, inclusive work environment.
• A culture of innovation and collaboration.
• A commitment to diversity, equity, and inclusion.

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Microsoft AI are looking for a talented Senior Software Engineer 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 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:

• Experience with large scale data systems.
• Experience working with AI platforms, frameworks, and APIs.

Personal attributes:

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Benefits and other compensation.
• Opportunity to work with a talented team of engineers and contribute to the development of cutting-edge AI technology.
• Professional development opportunities.
• Flexible work arrangements, including remote and hybrid options.

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