В Riot чётко описана senior-роль с фокусом на reinforcement learning в production и возможностью влиять на общие ML-системы; без зарплаты сложнее оценить условия относительно рынка.
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Зарплата не указанаСовременный стекПонятные задачиСильный продуктБаланс и отпуск
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Hirify AI/Оригинал
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Machine Learning Engineer III - Unpublished R&D; Product (Reinforcement Learning): Building ML capabilities, reusable training and evaluation pipelines, and adaptive decision-making systems for an unpublished R&D game project with an accent on reinforcement learning, research-to-production practices, and model reliability.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Own the strategy, design, implementation, and maintenance of ML capabilities for an unpublished R&D game project.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.
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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