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The Senior AI/Machine Learning Engineer at Mojang Studios will support the strategy, development, and execution of AI products that will unlock increased productivity and advanced capabilities inside and outside of the game. This role will apply expertise in AI & ML algorithms, frameworks, and architectures as well as data and cloud infrastructure knowledge to guide and build solutions for a variety of teams and data modalities across the studio. This is a critical role to executing our AI strategies across workflows, internal tools, and player experiences.
Job Responsibility:
Design, build, and productionize AI/GenAI 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: data pipelines, training/evaluation, deployment, monitoring, and operational support
Improve reliability, performance, and cost with guardrails, fallback paths, SLOs, 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
Requirements:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience
Experience in AI/ML principles, frameworks, and tools (e.g., PyTorch, Generative AI, RAG)
Experience with big data technologies like Spark (PySpark) and Databricks
Skilled in Python (C#/TypeScript a plus)
Familiar with modern dev practices (Agile, GitHub, Azure DevOps)
Familiar with designing, deploying, and monitoring cloud infrastructure for AI systems
Familiar with multiple data modalities and ML domains: computer vision, audio, predictive modeling, NLP, 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