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2 дня назад

Principal Machine Learning Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal Machine Learning Engineer (AI): Responsible for the strategy, design, and implementation of AI/ML-driven capabilities for a new Riot game with an accent on increasing developer efficiency. Focus on conceptualizing, planning, implementing, and maintaining AI-powered solutions.

Location: Remote

Company

Riot focuses on work/life balance and creating games and experiences that make it better to be a player.

What you will do

  • Define the strategic direction of the AI/ML space on the team.
  • Work closely with developers to discover and conceptualize opportunities for AI-powered workflow enhancements.
  • Lead the application of AI/ML systems to solve developer problems.
  • Collaborate with developers to scope, architect, implement, and test AI/ML-based solutions.
  • Partner with central teams to create reusable training and evaluation pipelines.
  • Advance and strengthen engineering best practices, including code quality, automated testing, and maintainable architecture.

Requirements

  • 10+ years of professional experience in software engineering, including experience with requirements gathering and delivering production-ready solutions.
  • Experience delivering AI/ML systems in production, ideally within real-time or interactive environments.
  • Strong background in reinforcement learning, imitation learning, decision-making under uncertainty, LLM, or AI planning.
  • Experience working in a AAA game engine (i.e. Unity, Unreal, etc.).
  • Proven ability to navigate ambiguity and solve complex problems with minimal support.
  • Proficiency in C++.

Nice to have

  • Experience implementing tools for developers.
  • Proficiency working with modern ML/data science libraries and frameworks such as PyTorch/TensorFlow, pandas, etc.
  • Experience in infrastructure and MLOps (such as AI/ML cloud services, containers and model telemetry).
  • Experience mentoring technical ICs and contributing to engineering culture.
  • Experience working on distributed teams.

Culture & Benefits

  • Open paid time off policy and flexible work schedules.
  • Medical, dental, and life insurance.
  • Parental leave for you, your spouse/domestic partner, and children.
  • 401k with company match.
  • Collaborative teams where you are empowered to bring your unique perspective everyday.

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