Member of Technical Staff, Applied Scientist jobs in United States
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Microsoft · 1 week ago

Member of Technical Staff, Applied Scientist

Microsoft is seeking a Member of Technical Staff – Applied Scientist to help design and build advanced Copilot features. The role involves developing scalable methods for evaluating feature performance and training content classifiers to enhance user interactions.

Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
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Growth Opportunities
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H1B Sponsor Likelynote

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

Qualification

Large Language ModelsData ScienceMachine LearningPythonData Collection PipelinesEvaluation FrameworksProactive AttitudeCollaborationCommunicationCustomer Focus

Required

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

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

Company

Microsoft

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Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

H1B Sponsorship

Microsoft has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)

Funding

Current Stage
Public Company
Total Funding
$1M
Key Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M

Leadership Team

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Satya Nadella
Chairman and CEO
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Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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Company data provided by crunchbase