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2 дня назад

Senior AI/Machine Learning Engineer (Gamedev)

119 800 - 234 700$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior AI/Machine Learning Engineer (Gamedev): Designing, building, and productionizing AI services and platform components for Minecraft's internal and player-facing experiences with an accent on studio-wide AI enablement and the creation of reusable AI building blocks. Focus on engineering for security, privacy, and compliance, embedding responsible AI principles into system design and operations.

Location: United States, Washington, Redmond

Salary: USD $119,800 - $234,700 per year

Company

hirify.global Studios, the creators of Minecraft, is on a mission to build a better world through the power of play.

What you will do

  • Design, build, and productionize AI services and platform components for internal and player‑facing experiences.
  • 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.
  • Collaborate cross‑discipline to solve product problems and deliver measurable business/player impact.

Requirements

  • Doctorate/Master's/Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 1+/3+/5+ years data-science experience OR equivalent experience.
  • Experience in AI/ML principles, frameworks, and tools (e.g., PyTorch, Generative AI, RAG) with experience in big data technologies like Spark (PySpark) and Databricks.
  • 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, time series forecasting, graph networks, deep learning, and reinforcement learning.
  • Verbal and written communication skills.

Nice to have

  • Games industry knowledge.
  • Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.

Culture & Benefits

  • Be in the company of incredibly bright, warm, and creative individuals – all united and working toward a single goal.
  • Microsoft is an equal opportunity employer.

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