Senior Data and Applied Scientist - Xbox jobs in United States
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Microsoft · 13 hours ago

Senior Data and Applied Scientist - Xbox

Microsoft is committed to ensuring that we develop and deploy our AI technologies in ways that uphold our AI principles and warrant people’s trust. As a Senior Data and Applied Scientist, you will work with cross-functional teams to apply state-of-the-art AI that supports community moderation experiences for some of the largest online communities around the globe.

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

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

Data ScienceNatural Language ProcessingLarge Language ModelsStatistical TechniquesSQLComputer VisionAutomatic Speech RecognitionProduct-driven ThinkingInclusivityCommunication SkillsAdaptabilityCollaboration

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

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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