4 часа назад
AI Engineer (Reinforcement Learning)
300 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Reinforcement Learning): Building and scaling the post-training infrastructure for frontier reasoning models with an accent on RL stack reliability, performance, and data pipelines. Focus on designing large-scale training systems, implementing novel optimizations, and collaborating with researchers to iterate on RL algorithms.
Location: San Francisco (On-site)
Salary: $300,000–$400,000 USD
Company
is a frontier AI research company dedicated to democratizing AI R&D across scientific disciplines to accelerate discovery.
What you will do
- Design and build reliable infrastructure for large-scale reinforcement learning training.
- Implement novel performance optimizations across the training stack.
- Develop evaluation and benchmarking infrastructure to measure model progress and system uptime.
- Build data collection and feedback pipelines to bridge human signals, reward modeling, and training.
- Collaborate with research teams to iterate on RL algorithms and deploy experiments into production.
Requirements
- Experience in building infrastructure for large-scale machine learning or reinforcement learning.
- Strong background in performance optimization and system reliability.
- Ability to work at the intersection of research and engineering.
- Must be able to work on-site in San Francisco.
Culture & Benefits
- Competitive base salary and meaningful equity grant.
- Opportunity to work with a team of researchers and engineers from top-tier AI labs.
- Focus on solving core bottlenecks in frontier AI development.
- Collaborative environment bridging the gap between research and production infrastructure.
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