Role at a glance
- Job function
-
AI & Data AI Research & Applied Science
- Salary
- $160.2K – $261K/yr
- Location
- Redmond, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
The Senior Applied Scientist develops methods and capabilities for offline evaluations that better represent and predict Copilot customer experiences. The role works with engineering, product, and research partners to support scalable evaluation across Copilot, including long-running agents and generative AI systems.
What You'll Do
- Develop scientific methods to extract representative query and intent patterns from Copilot traffic and generate high-quality synthetic...
- Measure and improve query-set and tenant representativeness, and reproduce customer dissatisfaction scenarios as compliant evalsets.
- Increase alignment between offline evaluation results and online shadow experiments.
- Frame product and customer problems as applied science opportunities; design, build, and evaluate machine learning and AI models,...
- Develop production-ready data, training, evaluation, and inference pipelines; conduct offline and online experiments, analyze results,...
- Partner with software engineers and product managers to integrate scientific solutions, improve model quality and reliability, and...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: a bachelor's degree in Statistics, Computer Science, Electrical or Computer Engineering, or a related field with 4+ years of related experience; or a master's degree in one of those fields with 3+ years; or a doctorate in one of those fields with 1+ year. Related experience examples include generative AI, agentic evaluation, LLM, and research.
Preferred
- Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience...
- Experience building, deploying, and operating production machine learning systems at scale.
- Experience with deep learning, generative AI, large language models, natural language processing, recommender systems, computer vision,...
- Experience with responsible AI, model safety, privacy, fairness, robustness, and evaluation.
- Strong written and verbal communication skills, including communicating technical results to diverse stakeholders.
- Evidence of technical leadership through mentoring, cross-team collaboration, patents, or publications.
- Experience in Privacy-Preserving ML, Synthetic Data Generation, and LLM/Agentic Evaluation would be valuable.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Responsibilities
- Frame complex product and customer problems as applied science opportunities with clear success metrics.
- Design, build, and evaluate machine learning and AI models, algorithms, and experimentation frameworks.
- Develop robust data, training, evaluation, and inference pipelines suitable for production use.
- Conduct rigorous offline and online experiments; analyze results and communicate actionable recommendations.
- Partner with software engineers and product managers to integrate scientific solutions into products and services.
- Improve model quality, reliability, efficiency, safety, and responsible AI practices throughout the lifecycle.
- Provide technical leadership through design reviews, mentoring, and raising the scientific bar for the team.
- Stay current with relevant research and identify opportunities to apply new methods to customer needs.
Qualifications
Required Qualifications:
- Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., generative AI, agentic evaluation, LLM, research)
- OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., generative AI, agentic evaluation, LLM, research)
- OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., generative AI, agentic evaluation, LLM, research)
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:
- Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., generative AI, agentic evaluation, LLM, research)
- OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience(e.g., generative AI, agentic evaluation, LLM, research)
- OR equivalent experience.
- Experience building, deploying, and operating production machine learning systems at scale.
- Experience with deep learning, generative AI, large language models, natural language processing, recommender systems, computer vision, or another area relevant to the hiring team.
- Experience with responsible AI, model safety, privacy, fairness, robustness, and evaluation.
- Strong written and verbal communication skills, including communicating technical results to diverse stakeholders.
- Evidence of technical leadership through mentoring, cross-team collaboration, patents, or publications.
- Experience in Privacy-Preserving ML, Synthetic Data Generation, and LLM/Agentic Evaluation would be valuable.
Applied 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 $160,200 - $261,000 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
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.
About the company
Microsoft
Large Enterprise
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.