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21 день назад

Machine Learning Engineer III - Unpublished R&D; Product (Reinforcement Learning)

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
Machine Learning Engineer III - Unpublished R&D; Product (Reinforcement Learning): Building ML capabilities, reusable training and evaluation pipelines, and adaptive decision-making systems for an unpublished R&D game project with an accent on reinforcement learning, research-to-production practices, and model reliability. Focus on designing interacting ML systems, measuring model impact through rigorous evaluation, and mentoring engineers across disciplines.

Company

Riot Games develops player-focused games and interactive experiences.

What you will do

  • Own the strategy, design, implementation, and maintenance of ML capabilities for an unpublished R&D game project.
  • Collaborate with developers, designers, data scientists, and analytics partners to identify opportunities and define model and feature strategies.
  • Build reusable training and evaluation pipelines and establish architecture patterns for broader use.
  • Apply reinforcement learning and other ML systems to improve decision-making and adaptation.
  • Establish research-to-production practices, reliability standards, experiment design, and technical evaluation standards.
  • Mentor engineers and partner disciplines through documentation, reviews, technical guidance, and pragmatic risk management.

Requirements

  • 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles.
  • Production experience with reinforcement learning, interacting models, feedback loops, or systems whose behavior has downstream consequences.
  • Proficiency with Python or similar programming languages and modern ML or data science frameworks such as PyTorch, TensorFlow, and pandas.
  • Experience collaborating across multiple disciplines and communicating with technical and non-technical audiences.
  • B.S. in Computer Science or equivalent experience.

Nice to have

  • Experience with multi-agent reinforcement learning, developer tooling, or framework-level UI systems.
  • Experience with infrastructure and MLOps, including ML cloud services, containers, and model telemetry.
  • Experience working with AAA game engines such as Unity or Unreal.
  • Proficiency in C++.

Culture & Benefits

  • Player-focused decision-making and emphasis on player empathy.
  • Collaborative environment with opportunities to bring different perspectives.
  • Open paid time off policy and flexible work schedules.
  • Medical, dental, and life insurance.
  • Parental leave and a 401k with company match.

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