Member of Technical Staff – Machine Learning (AI Team)
Member of Technical Staff – Machine Learning (AI Team)
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As a Member of Technical Staff – Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Microsoft Superintelligence Team
This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.
We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!
Responsibilities
- Own and pursue a research agenda to improve model capability and performance for agentive application.
- Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
- Build robust evaluations for tracking modeling improvements.
- Design, implement, test, and debug code across our research stack.
Qualifications
Required Qualification
- Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Preferred Qualification
- Master’s degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience .
Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field and experience in (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
Software Engineering IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 – $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – Machine Learning Engineer
Member of Technical Staff – Machine Learning Engineer
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Responsibilities
- Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning.
- Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.
- Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.
- Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.
- Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers.
- Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings.
- Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership.
- Embody our Culture and Values.
Qualifications
Required Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- 3+ years of experience building and deploying ML models in production environments.
- Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS).
- Experience with classification, recommendation, or personalization systems.
- Experience using large language models (LLMs) for machine learning and AI applications.
- Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Expertise in personalization strategies and user behavior modeling.
- Strong problem-solving skills and the ability to independently design solutions to complex challenges.
- Excellent communication skills, with the ability to influence technical and non-technical audiences.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – AI Product Engineer – Web
Member of Technical Staff – AI Product Engineer – Web
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Responsibilities
- Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future
- Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world
- Design and build efficient and reusable front-end systems that drive complex web applications
- Plan and deploy front end infrastructure necessary to build, test, and deploy our products
- Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products
- Embody our Culture and Values
Qualifications
Required Qualifications
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.
Preferred Qualifications
- Bachelor’s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR Master’s Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React OR equivalent experience.
- Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
- Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – Copilot AI Companion Engineering Manager
Member of Technical Staff – Copilot AI Companion Engineering Manager
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Responsibilities
Hire, manage, and lead a team of software engineers responsible for delivering high-performing, emotional, delightful AI character experiencesShip AI powered experiences that will shape how millions of people will interact with AI in the future
Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world
Design and build a performant AI Character infrastructure that drives fast, reliable, and scalable character experiences
Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Bachelor’s Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- 6+ years people management experience.
- Experience leading engineering teams to deliver large-scale software systems, preferably in AI, machine learning, graphics or related fields.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
- Have strong opinions about best investments to make in establishing the most delightful and performant AI companion engineering system.
Software Engineering M5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
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https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering M6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Applied Scientist II
Applied Scientist II
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Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events. The team looks at all aspects of modeling including training data, features, the actual model (neural nets, linear models, decision trees etc.) and offline and online evaluation of those models. Engineers and scientists on our team work at the edge of machine learning and economics developing in the online stack as well as offline workflows. At its core, our team utilizes signals of user and advertiser intent to determine which ads are allocated and at what price.
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
- Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
- Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
- Designing automation algorithms for advertisers using techniques from AI and ML to improve advertiser’s return on investment.
- Develop models for causal reasoning using techniques from AI, ML, and statistics.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- Experience in any of the following areas statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.
- Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.
- Solid software design and development skills/experience.
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
- Research experience (publications) in the following areas is preferred statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference.
#MicrosoftAI #LI-JP7
Applied Sciences IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 – $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Principal Applied Scientist
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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.
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.
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. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
ML / Modeling Leadership
- 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.
Additional or preferred qualifications
- Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- 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).
- 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.
#MicrosoftAI #LI-JP7
Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff, Platform Engineer
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- Discipline
Responsibilities
Build secure and performant AI Platform services that power Copilot.
Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
Ship high-quality, well-tested, secure, and maintainable code.
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Enjoy working in a fast-paced, design-driven, product development cycle.
Qualifications
- Bachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in languages including, but not limited to: Python, Golang, Java/Scala, Rust
- 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.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Responsibilities
Architect and implement advanced Copilot features such as Deep Research and Web artifact generation
Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals
Design scalable systems that leverage large language models (LLMs) to deliver intelligent, user-facing experiences
Develop evaluation frameworks and metrics to assess feature performance and user impact
Conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination
Build data collection pipelines to support prompt engineering and fine-tuning of LLMs
Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms to drive innovation
Train and optimize content classifiers to enable context-aware interactions within Copilot
Independently write efficient, readable, and extensible code and model pipelines
Contribute to defining the model quality roadmap for Copilot, balancing technical rigor with business and product priorities
Collaborate cross-functionally with product, engineering, and research teams to ship high-quality consumer features
Commit to a customer-oriented focus by validating customer perspectives, understanding broader context, and serving as a trusted advisor
Communicate technical concepts clearly and contribute to team-wide knowledge sharing
Take initiative in a fast-paced environment, driving innovation and continuous improvement in AI-powered products
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.
- Experience prompting, evaluating, and working with large language models.
- Experience writing production-quality Python code.
Preferred 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.
- Demonstrated interest in Responsible AI.
Research Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Research Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Principal Software Engineer
Member of Technical Staff, AI Product, Android Engineer
Member of Technical Staff, Infrastructure Engineer
Member of Technical Staff, Infrastructure Engineer
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Responsibilities
Design, develop, and maintain performant and secure AI Platform services that power Copilot.
Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.
Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Enjoy working in a fast-paced, design-driven, product development cycle.
Qualifications
- Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building services and products in languages such as Python, C#, C++, Rust, Java.
- OR equivalent experience.
- 4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.
- 4+ years’ experience in building and releasing production software at the platform level.
- Solid knowledge of APIs, data flows, systems, and services.
Preferred Qualifications:
- Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on reliability, security and ease of use.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – Product Evaluation Engineer
Member of Technical Staff – Product Evaluation Engineer
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Responsibilities
- Tool Development: Design and implement tools, end to end, using Typescript and Python to streamline data collection and facilitate model evaluation across AI projects.
- Feature Implementation: Leverage your expertise in JavaScript and its ecosystem, (React JS experience is a must, Next JS experience is a bonus), to develop robust and scalable features for internal tools that enhance the quality and efficiency of data and model evaluation.
- Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions.
- Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models.
- Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying Microsoft’s values of respect, integrity, and accountability in your daily work.
Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java
- OR equivalent experience.
- Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java
- OR Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java
- OR equivalent experience.
- 4+ years of experience in building and deploying web-based tools or applications.
- 4+ years of experience with Next JS or other modern JavaScript frameworks.
- 5+ years of experience in software development, with a focus on building tools for data collection and/or model evaluation.
- Demonstrated understanding of data structures, algorithms, and software design principles.
- Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering.
- Familiarity with data science and machine learning concepts, especially as they relate to model evaluation and data collection.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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