Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly require you to interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.
• You have a strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Has previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• You possess experience in technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

XML job scraping automation by YubHub

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Regularly interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications:

• Master's or PhD in electrical or computer engineering, or a highly-related field.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources, databases, and online resources.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred Skills and Experience:

• PhD in electrical or computer engineering.
• Substantial professional experience working on real-world problems in this domain.
• Possess experience with at least one publication in a reputable journal or outlet.
• Previous AI Tutoring experience.
• Teaching experience (as a professor, teacher, or tutor).
• Technical writing, journalism, or a professional writing setting.
• Professional background as an electrical or computer engineer.

XML job scraping automation by YubHub

We're looking for a Senior Applied Scientist to lead end-to-end science for grounding: inventing retrieval and attribution methods, defining factuality/faithfulness metrics, and shipping production models and APIs that scale to billions of queries. You'll partner closely with engineering, product, research, and customers to deliver fast, reliable, and explainable answers with source citations across a diverse set of domains and modalities.

As a team, we value curiosity, pragmatic rigor, and inclusive collaboration. We believe great systems emerge when scientists and engineers co-design metrics, models, and infrastructure—and when we obsess over customer impact, privacy, and safety.

Responsibilities Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images. Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs. Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems. Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property. Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively. Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work. Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols. Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.

Qualifications Required Qualifications: 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. Minimum of 4 years of hands-on experience designing and building search, retrieval, or ranking systems. Proven track record of shipping LLM-powered or Retrieval-Augmented Generation (RAG) systems into production environments. Solid coding skills and solid foundation in machine learning, with the ability to implement and optimize models effectively. Demonstrated ability to lead through ambiguity, make principled trade-offs, and deliver measurable impact in cross-functional, fast-paced settings. Preferred Qualifications: Master’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 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. Demonstrated expertise in information retrieval, with publications in top-tier conferences or journals such as NeurIPS, ICML, ICLR, SIGIR, or ACL. Hands-on experience in large language model (LLM) development, including pretraining, supervised fine-tuning (SFT), and reinforcement learning (RL). Proven track record in optimizing LLM inference, or active contributions to open-source frameworks like vLLM, SGLang, or related projects.

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Owns the science roadmap for grounding—including retrieval, re-ranking, attribution, and reasoning—driving initiatives from problem framing to production impact. Designs and evolves state-of-the-art retrieval and RAG orchestration across documents, tables, code, and images. Builds citation and provenance systems (e.g., passage highlighting, quote-level alignment, confidence scoring) to reduce hallucinations and increase user trust. Leads experimentation and evaluation using A/B testing, interleaving, NDCG, MRR, precision/recall, and calibration curves to guide measurable trade-offs. Advances tool-augmented grounding through schema-aware retrieval, function calling, knowledge graph joins, and real-time connectors to databases, cloud object stores, search indexes, and the web. Partners with platform engineering to productionize models with scalable inference, embedding services, feature stores, caching, and privacy-compliant multi-tenant systems. Nurtures collaborative relationships with product and business leaders across Microsoft, influencing strategic decisions and driving business impact through technology. Authors white papers, contributes to internal tools and services, and may publish research to generate intellectual property. Bridges the gap between researchers (e.g., Microsoft Research) and development teams, applying long-term research to solve immediate product needs. Leads high-stakes negotiations to ensure cutting-edge technologies are applied practically and effectively. Identifies and solves significant business problems using novel, scalable, and data-driven solutions. Shapes the direction of Microsoft and the broader industry through pioneering product and tooling work. Mentors applied scientists and data scientists, establishing best practices in experimentation, error analysis, and incident review. Collaborates cross-functionally with PMs, research, infrastructure, and security teams to align on milestones, SLAs, and safety protocols. Communicates clearly through design documentation, progress updates, and presentations to executives and customers. Contributes to ethics and privacy policies, identifies bias in product development, and proposes mitigation strategies.

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As a Applied Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. You'll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Generation, and create scalable workflows for measurement and evaluation.

This opportunity will allow you to:

• Accelerate your career growth by working on state-of-the-art AI systems.
• Develop deep expertise in prompt engineering and model tuning.
• Hone your skills in building robust data pipelines and quality frameworks.

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 implement new relevance metrics to measure and improve local search quality.
• Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.
• Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.
• Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.
• Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.
• Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.
• Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.

Qualifications:

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

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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Responsibilities:

• Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.
• Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).
• Define long-term modeling strategy and roadmap with clear business impact.

Technical & Engineering Execution:

• Modernize our current modeling pipelines, addressing critical technical debt in data flows, training pipelines, and inference systems.
• Partner closely with engineering teams to improve reliability, monitoring, and performance of distributed training and online serving.
• Introduce best practices for experiment design, ablations, feature validation, and productionization.

Business & Product Impact:

• Work with PMs, monetization teams, and auction experts to translate business needs into modeling goals.
• Own model performance holistically: quality, stability, latency, and revenue impact.
• Develop frameworks to better understand advertiser value, user behavior, and marketplace dynamics.

Leadership & Mentorship:

• Mentor and up-level applied scientists and ML engineers across the organization.
• Drive a culture of curiosity, deep system understanding, and high-quality scientific reasoning.
• Improve collaboration norms, documentation quality, and cross-team alignment.

Innovation & Tooling:

• Leverage and influence LLM-based tooling (e.g., agents, copilots) to improve team productivity and model development velocity.
• Identify opportunities to incorporate new modeling signals, architectures, or evaluation metrics.

Qualifications:

• 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.

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 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

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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 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 the AI and machine learning space. You'll work directly with leadership to shape the company's direction in the content and recommendation systems markets.

About the Role

As a Senior Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibilities will include:

• Algorithm Development and Enhancement for ranking algorithms in News & Feeds
• Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement
• Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques

Accountabilities

• Conduct in-depth market research across content and recommendation systems sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems
• Build systemic solutions and models to optimize user experience

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)

Technical skills:

• Proficient in Python programming, with additional experience in languages such as C# or C++ considered a plus

Personal attributes:

• Proven problem-solving abilities and a track record of thriving in fast-paced, collaborative environments
• Excellent communication and teamwork skills, with the ability to clearly articulate complex technical concepts to a variety of audiences

Benefits

• Competitive salary and bonus structure
• Comprehensive health and wellbeing benefits
• Professional development opportunities, including training and mentorship programs
• Flexible work arrangements, including remote and hybrid options
• Access to cutting-edge technology and tools
• Collaborative and dynamic work environment
• Opportunities for career growth and advancement
• Recognition and rewards for outstanding performance

XML job scraping automation by YubHub

Microsoft are looking for a talented Senior Applied Scientist 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 advertising technology space. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network, Copilot, and beyond. Your work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user 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 content selection, user engagement modeling, and ad generation.

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:

• Proven experience in programming and data analysis skills 2+ years of experience in developing and deploying large-scale machine learning models.
• Proven expertise in the areas of Generative AI, deep learning, or transformers.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Benefits

• Starting January 26, 2026, Microsoft AI (MAI) 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 are looking for a talented Senior 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 the advertising space. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network, Copilot, and beyond. Your work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user 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 content selection, user engagement modeling, and ad generation.

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:

• Proven experience in programming and data analysis skills 2+ years of experience in developing and deploying large-scale machine learning models.
• Proven expertise in the areas of Generative AI, deep learning, or transformers.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Benefits

• Starting January 26, 2026, Microsoft AI (MAI) 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 are looking for a talented Applied Scientist 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 an Applied Scientist in MAI, you would be responsible for data analysis, training and building models and shipping to production high quality experiences improving Bing products. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at deal structuring.

Accountabilities

• Conduct in-depth market research across AI sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Gain a basic understanding of a broad area of research and applicable research techniques

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)

Technical skills:

• Data analysis
• Model building

Personal attributes:

• Strong problem-solving skills
• Excellent communication skills

Benefits

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

XML job scraping automation by YubHub

Microsoft are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers.

About the Role

We are seeking a Principal Applied Scientist to lead the next generation of click-through-rate (CTR) for Microsoft Advertising. This is a high-impact role responsible for advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers. This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.

Accountabilities

• Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.
• Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).

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:

• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).

Personal attributes:

• 3+ years experience developing and deploying live production systems, as part of a product team.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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 Sunnyvale office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the advertising marketplace. You'll work directly with leadership to shape the company's direction in the development of large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback.

About the Role

Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value. We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend. The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.

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.

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.

Personal attributes:

• Track record of driving multi-year research or modeling agendas that materially improved product outcomes.

Benefits

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

XML job scraping automation by YubHub

Microsoft 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 the online advertising platform and service. You'll work directly with leadership to shape the company's direction in the advertising industry.

About the Role

As a Senior Applied Scientist, you will play a key role in driving algorithmic and modeling improvement to the system. You will analyze performance and identify opportunities based on offline and online testing. You will develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads. You will have good communication, collaboration, and analytical skills.

Accountabilities

• Play a key role in driving algorithmic and modeling improvement to the system.
• Analyze performance and identify opportunities based on offline and online testing.

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:

• Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Experience conducting research as part of a research program (in academic or industry settings).

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.

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Microsoft are looking for a talented Snr Applied Scientist at their Cairo office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising online shopping technology. You'll work directly with leadership to shape the company's direction in the global e-commerce market.

About the Role

As a Snr Applied Scientist in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.

Accountabilities

• Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.
• Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.

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:

• Master’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 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.

Personal attributes:

• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

Benefits

• Work arrangements (remote, hybrid, office-based).
• 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 are looking for a talented Principle 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 the technology industry. You'll work directly with leadership to shape the company's direction in the global market.

About the Role

As a Principle Applied Scientist, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibility will be to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement. You will work with cross-functional teams to analyze performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques.

Accountabilities

• Conduct in-depth market research across the technology industry, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement

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:

• Strong programming skills in Python and experience with other programming languages like C#, C++ is a plus

Personal attributes:

• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Strong communication and teamwork skills, with the ability to effectively present and explain technical concepts to diverse audiences

Benefits

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

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

About the Role

As a Snr Applied Scientist in AI, and NLP, you will build top-notch models to solve a multitude of tasks core to building and enriching Microsoft Product Catalog. This opportunity will allow you to accelerate your career growth, develop deep problem-solving skills, collaborate with different team through active engagement with teams from different cultures.

Accountabilities

• Master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.
• Gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.

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:

• Master’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 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.

Personal attributes:

• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).

Benefits

• Work arrangements (remote, hybrid, office-based).
• 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 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 the online advertising platform and service. You'll work directly with leadership to shape the company's direction in the advertising market.

About the Role

As a Senior Applied Scientist, you will play a key role in driving algorithmic and modeling improvement to the system. You will analyze performance and identify opportunities based on offline and online testing. You will develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads. You will have good communication, collaboration, and analytical skills.

Accountabilities

• Play a key role in driving algorithmic and modeling improvement to the system.
• Analyze performance and identify opportunities based on offline and online testing.

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:

• Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Experience conducting research as part of a research program (in academic or industry settings).

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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What you'll do

• Developing and maintaining SerDes system models for NRZ and PAM4 transceivers targeting PCIe (128Gbps+) and Ethernet (200Gbps+) standards.
• Running comprehensive system simulations to verify and sign-off design performance across multiple protocols and channels.

What you need

• M.Sc. or Ph.D. in Electrical or Computer Engineering.
• Strong experience modeling circuits and systems in MATLAB/Simulink.
• Expertise in designing high-speed analog CMOS circuits.
• Solid understanding of DSP and communications theory, including equalization, coding, and noise/crosstalk filtering.
• Proficiency in analyzing link budgets for NRZ and/or PAM4 high-speed serial links.
• Familiarity with wireline protocols (PCIe, Ethernet, JESD204C, CPRI) and optical protocols (LINEAR, RTLR).
• Experience with circuit topologies used in high-speed SerDes Tx/Rx and Tx/Rx equalization techniques.
• Hands-on lab testing for high-speed serial links and proficiency in C/Verilog-A/systemVerilog.

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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 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 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. You 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. You will act as a designated responsible individual (DRI), work with partners and v-team members to understand requirements, define roadmap, lead execution, unblock issues, deliver mission on time. You will proactively learn and leverage engineer excellence practice from partner teams, build collaboration with partners. You will maintain system performance, security and compliance.

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.
• Flexible working hours and remote work options.

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What you'll do

• Developing and maintaining SerDes system models for NRZ and PAM4 transceivers targeting PCIe (128Gbps+) and Ethernet (200Gbps+) standards.
• Running comprehensive system simulations to verify and sign-off design performance across multiple protocols and channels.
• Designing and proposing advanced algorithms to calibrate and adapt transceivers for optimal performance.
• Correlating simulated performance with silicon measurements to ensure accuracy and reliability.
• Providing expert assistance to customers for system-level performance issues and troubleshooting.
• Collaborating with cross-functional teams of analog, digital, and hardware engineers throughout all stages of development.
• Contributing to lab testing and analysis for high-speed serial links, ensuring robust design validation.

What you need

• M.Sc. or Ph.D. in Electrical or Computer Engineering.
• Strong experience modeling circuits and systems in MATLAB/Simulink.
• Expertise in designing high-speed analog CMOS circuits.
• Solid understanding of DSP and communications theory, including equalization, coding, and noise/crosstalk filtering.
• Proficiency in analyzing link budgets for NRZ and/or PAM4 high-speed serial links.
• Familiarity with wireline protocols (PCIe, Ethernet, JESD204C, CPRI) and optical protocols (LINEAR, RTLR).
• Experience with circuit topologies used in high-speed SerDes Tx/Rx and Tx/Rx equalization techniques.
• Hands-on lab testing for high-speed serial links and proficiency in C/Verilog-A/systemVerilog.

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Microsoft AI are looking for a talented Senior Applied Scientist at their Toronto 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. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

About the Role

In this role, the Senior 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. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.

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.
• Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

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:

• Proven experience in programming and data analysis skills.
• Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
• 5+ years of experience in developing and deploying large-scale machine learning models.

Personal attributes:

• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• Competitive salary range of CAD $114,400 – CAD $203,900 per year.
• Comprehensive benefits package, including health, dental, and vision insurance.
• Opportunities for professional development and growth within the company.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and resources.
• Flexible work arrangements, including remote work options.

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