- 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.
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
- 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.
- 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.
Skills Required
- Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience OR Master's degree AND 4+ years related experience OR Doctorate AND 3+ years related experience OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements (specialized security screenings).
- Pass Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
- Experience with agent-based architectures, frameworks and technologies (such as MCP, A2A protocol, or Azure AI Foundry).
- 3+ years developing and deploying products or systems across product lifecycle as part of a product team.
- Proven track record designing and scaling online experimentation platforms supporting A/B and multivariate testing, governance, guardrails, and causal inference best practices.
- Demonstrated thought leadership in product measurement strategy, defining north-star metrics and measurement frameworks.
- 5+ years experience creating publications (patents, libraries, peer-reviewed papers).
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
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