Microsoft · 2 days ago
Senior AI/Machine Learning Engineer, Minecraft
Redmond, WA
Full-time
Hybrid
Mid, Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft's Mojang Studios, the creators of Minecraft, are on a mission to build a better world through the power of play. The Senior AI/Machine Learning Engineer will support the strategy, development, and execution of AI products to enhance productivity and capabilities, applying expertise in AI & ML algorithms and cloud infrastructure to guide solutions across various teams.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Design, build, and productionize AI (Artificial Intelligence)/GenAI (Generative Artificial Intelligence) services and platform components for internal and player‑facing experiences across Minecraft and other titles
Create reusable AI building blocks and reference integrations to accelerate teams and drive studio‑wide AI enablement
Own cloud infrastructure & MLOps (Machine Learning Operations): data pipelines, training/evaluation, deployment, monitoring, and operational support
Improve reliability, performance, and cost with guardrails, fallback paths, SLOs (Service Level Objectives), and actionable runbooks
Engineer for security, privacy, and compliance through secure data access patterns and threat modeling
Embed responsible AI principles (fairness, transparency, player safety) into system design and operations
Collaborate cross‑discipline to solve product problems and deliver measurable business/player impact; participate in design/code reviews and pair programming
Document and communicate: share learnings to upskill the studio and present findings/opportunities to leadership
Embody our Culture & Values
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
Experience in AI/ML (Machine Learning) principles, frameworks, and tools (e.g., PyTorch, Generative AI, RAG (Retrieval-Augmented Generation), with experience in big data technologies like Spark (PySpark) and Databricks
Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience
Games industry knowledge
Skilled in Python (C#/TypeScript a plus), modern dev practices (Agile, GitHub, Azure DevOps), and designing, deploying, and monitoring cloud infrastructure for AI systems
Familiar with multiple data modalities and ML domains: computer vision, audio, predictive modeling, NLP (Natural Language Processing), time series forecasting, graph networks, deep learning, and reinforcement learning
Verbal and written communication skills
Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
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
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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
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