Member of Technical Staff - ML / Agents jobs in United States
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Microsoft · 5 months ago

Member of Technical Staff - ML / Agents

Microsoft is a leading technology company dedicated to empowering every person and organization on the planet. The Member of Technical Staff - ML / Agents will work on creating new agentive AI experiences in Copilot, focusing on developing methods for training agentive LLM capabilities and enhancing user-facing features.

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

Leverage subject matter expertise to improve model quality for interactive and agentive experiences in consumer Copilot
Oversee data acquisition or generation efforts, ensuring that the data meets product needs
Generalize machine learning (ML) solutions into repeatable frameworks
Lead evaluation efforts of models deployed within Copilot
Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions
Independently write efficient, readable, extensible code and model pipelines
Contribute to defining the model quality roadmap for Copilot, keeping in mind business and product goals
Commit to a customer-oriented focus by acknowledging customer needs and perspectives, and building AI products that delight customers

Qualification

Machine LearningPythonLarge Language ModelsC/C++/C#Data ScienceUser-Centered DesignEffective CommunicationTeam Collaboration

Required

Bachelor's Degree in Computer Science or related technical field 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
4 years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction)
Experience prompting, evaluating, and working with large language models
Experience writing production-quality Python code

Preferred

Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2 year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products)
OR Master's Degree in Computer Science, Machine Learning, or related field AND 5 years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products)
OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7 years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction)
Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience)
Demonstrated interest in interactive 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