Hybrid Research Engineer, Environment Scaling

Posted last week

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About the role

  • Research Engineer improving AI models through RL environment design and vendor management. Exciting role merging ML research, data operations, and project management.

Responsibilities

  • Improve and execute fine-tuning strategies for adapting Claude to new domains
  • Manage technical relationships with external data vendors
  • Collaborate with domain experts to design data pipelines
  • Explore creating RL environments for high value tasks
  • Develop and improve QA frameworks to catch reward hacking
  • Partner with RL research and product teams

Requirements

  • Experience with fine-tuning large language models for specific domains or real-world use cases
  • Experience with reinforcement learning, reward design, or training data curation for LLMs
  • Comfortable managing technical vendor relationships
  • Strong project management and interpersonal skills
  • Passionate about making AI more useful and accessible across industries
  • Excited about a role that includes ML research, data operations, and project management

Benefits

  • Competitive compensation
  • Generous vacation
  • Parental leave
  • Flexible working hours
  • Lovely office space
  • Optional equity donation matching

Job title

Research Engineer, Environment Scaling

Job type

Experience level

Mid levelSenior

Salary

$350,000 - $850,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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