Lead development of a high-scale experimentation platform for AI, advancing online experimentation methodology and agent evaluations. Translate research into production features, advise cross-functional teams on measurement and governance, design scoring and causal inference frameworks, create actionable visualizations, and mentor team members to elevate platform capabilities and scientific rigor.
Overview
Responsibilities
Qualifications
CoreAI sits at the center of Microsoft’s mission to redefine how software is built and experienced, providing the foundational platforms, services, and developer experiences that power the next generation of AI-driven applications. As part of CoreAI, the Experimentation Platform (ExP) enables trustworthy, high-scale online experimentation that accelerates product learning and drives progress across Microsoft’s AI ecosystem. You will play a pivotal role in shaping the technical direction of systems that help teams ship better AI experiences faster by providing the experimentation capabilities needed to evaluate, refine, and safely deploy new innovations.
In this role, you will:
- Push the envelope on online experimentation methodology and agent evaluations, advancing the state-of-the-art by connecting product development needs, latest science techniques and platform opportunities
- Contribute to one of the highest-scale experimentation platforms on the planet
- Collaborate closely with backend engineers, data scientists, site reliability engineers (SREs), and product managers to gather requirements, iterate on features, and deliver seamless, end-to-end user experiences.
- Collaborate closely with designers, UI-experts, science leaders and engineers to ensure clear, actionable dashboards and visualizations that empower users to make trustworthy science-informed decisions.
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
- Collaborate with and bridge the gaps between researchers (e.g., across CoreAI, Microsoft Research [MSR] and open source communities) to translate applied research into differentiated, production-quality features
- Provide technical guidance and deep industry insight, advising cross-functional teams on the adoption of cutting-edge AI tools, technologies, and methodologies to ensure successful experimentation programs and uphold the highest standards of quality and scientific rigor.
- Ensure teams develop and apply advanced subject matter expertise across a diverse set of specialized tools and methods, driving measurable business outcomes and elevating the scope and impact of Microsoft’s experimentation initiatives.
- Interface with experimentation partners across Microsoft to translate requirements into platform capabilities and lower barriers requiring advanced subject matter expertise.
- Provide mentorship and coaching to less experienced and mid-level team members by sharing expertise to build team capabilities and guiding team members in projects, and their career
Qualifications
Required Minimum 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.
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.
Preferred Qualifications:
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, or Azure AI Foundry)
- 3+ years of experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping as part of a product team.
- Proven track record designing and scaling online experimentation platforms that support high‑velocity A/B and multivariate testing across complex, multi‑team product ecosystems, including governance, guardrails, and causal inference best practices.
- Demonstrated thought leadership in product measurement strategy, with the ability to define north‑star metrics, architect measurement frameworks, and influence senior product and engineering leaders on how to interpret ambiguous or noisy data at scale.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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
Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $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.
Similar Jobs at Microloft
Automation
Lead applied research projects that advance AI for software developers (code completion, embeddings, agentic systems). Build datasets from public and internal code, train and manage large-scale ML experiments and models, collaborate across Microsoft Research, product teams, and GitHub, and transition research into product through experimentation and evaluation.
Top Skills:
Code EmbeddingsCodellmCopilot CliGithub CopilotLlmRagVisual StudioVs Code
Automation
Develop and maintain data, evaluation, and training pipelines for generative AI and agentic models; collaborate with researchers, engineers, and PMs to design systems, build proofs-of-concept, and productionize AI features; evaluate models, run experiments, and deploy infrastructure on major cloud platforms.
Top Skills:
Agent Frameworks (Autogen)AWSGenerative AiGitGoogle Cloud PlatformAzurePython
Automation
Lead analytics-driven identification of advertiser growth opportunities across global markets. Develop frameworks, analyze large datasets, partner with Business Planning, Demand Planning, Market Sciences, and Sales Strategy to design and measure demand programs, influence leadership, and deliver strategic recommendations based on marketplace and competitive trends.
Top Skills:
ExcelPower BIPythonSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
