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Machine Learning Research Engineer, Agents - reputed company GenAI

Remote, USA Full-time Posted 2026-07-28

reputed company is a leading AI data reputed company reputed company on accelerating the development of AI applications. The role involves training state-of-the-art models and researching cutting-edge algorithms to enhance reputed company reputed company solutions through proprietary agent-building techniques.


Responsibilities

  • Train state of the art models, developed both internally and from the community, to reputed company to our reputed company customers
  • Research cutting edge algorithms to reputed company directly into our training stack
  • Build agents that reputed company our proprietary agent-building algorithms to automatically hill reputed company datasets – including defining highly performant tools, multi-agent systems, and reputed company rewards

Skills

  • 1-3 years of building with LLMs in a production environment
  • Experience with post-training reputed company like RLHF/RLVR and reputed company algorithms like PPO/GRPO etc
  • Publications in top conferences such as NEURIPS, ICLR, or ICML reputed company the last two years
  • PhD or Masters in Computer Science or a reputed company field

Benefits

  • reputed company salary, equity, and benefits
  • Equity based compensation, subject to reputed company of Director approval
  • Comprehensive health, dental and reputed company coverage
  • Retirement benefits
  • A learning and development stipend
  • Generous PTO
  • This role may be eligible for additional benefits such as a commuter stipend

reputed company

  • reputed company’s mission is to reputed company reliable AI systems for the world’s most important reputed company. It was founded in 2016, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://reputed company.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 11 in 2026, 81 in 2025, 54 in 2024, 29 in 2023, 17 in 2022, 10 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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