Microsoft · 6 hours ago
Senior Data and Applied Scientist - Xbox
Redmond, WA
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft is committed to developing and deploying AI technologies that uphold trust and community standards in gaming. As a Senior Data and Applied Scientist, you will work with cross-functional teams to apply advanced AI techniques for community moderation and ensure compliance with legal and regulatory requirements.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Advancing the state-of-the-art artificial intelligence (AI) and natural language processing (NLP) algorithms, especially applying large language models and small language models, (LLM/SLM) to real-world large-scale content moderation systems
Developing tools, algorithms, fine-tuning and optimizing AI models, and automated systems that help identify and moderate high-risk behaviors and user generated text, image, video, audio and mixed media content on social networks
Working on the full lifecycle of AI development including training data collection, feature engineering, model training, offline and online experimentation, and deployment and maintenance
Collaborating and working cross functionally, focusing on strategic business questions, and sharing learnings
Driving product and business innovations for measurable impact on moderation product effectiveness
Investigating new technologies, tools, and prototypes, the latest techniques to evolve AI capabilities of the product and organization
Qualification
Required
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience
Preferred
Several years of industry experience across multiple AI modalities, such as multimodal models, Automatic Speech Recognition (ASR), Computer Vision, and Natural Language Processing (NLP)
Hands-on experience with advanced fine-tuning methods, including self-supervised, semi-supervised, and supervised learning techniques
Hands-on experience building or evaluating large language models and small language models, (LLM/SLM) applications in production, ensuring AI meets or exceeds targets for functionality, responsiveness and compliance
Product-driven thinking
Experience designing and implementing processes/systems to measure and improve AI product performance throughout the product life cycle
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines
Experience building large data sets using SQL, Spark, Snowflake etc., for model training, testing and/or deriving actionable insights
Strong communication skills to explain insights in an understandable way to non-experts, in both formal presentations and informal group conversations
Committed to contributing to an inclusive workplace that focuses on respect, integrity, and personal accountability
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
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 CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
Morningstar.com
2026-01-16
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