About the Role

Job Title: Founding ML Engineer
Employment Type: Full-time
Department: Engineering

Responsibilities:

• Ensure models are fast, reliable, and enhance developer experiences.
• Work directly with the CTO and have the opportunity for technical leadership.
• Choose high-impact tasks based on business context.

Potential Projects:

• Make LLMs aware of library versions for bug identification.
• Build indices for retrieving relevant context within a codebase.
• Redesign the web service to use a message queue.
• Implement an async eval workflow that integrates into CI/CD.
• Build and lead a world-class team of software engineers.

Qualifications:

• Basics:

  • Shipped production Python code to users.
  • Driven projects from conception to completion.
  • Worked on side projects.
  • Designed and implemented systems on the cloud.

• Nice-to-haves (1-2 expected):

  • DevTools: Experience building products targeted at developers.
  • ML/NLP Engineering: Familiarity with machine learning products or research, including PyTorch and fine-tuning language models.
  • Static Analysis: Experience with static code analysis projects, such as using ASTs for code-style violations.
  • Parsers: Knowledge of classic methods used in compilers, including symbol table creation and variable scope management.

Hiring Process:

1. Initial conversation (30 mins) - Discuss Recurse ML and your motivations, with some technical details.
2. Algorithms interview (1 hour) - Solve a Python algorithms problem at LeetCode easy/mid difficulty.
3. System design/code review interview (1 hour) - Evaluate code taste by reviewing PRs and discussing implementation and design.
4. Lunch with the team (1 hour+) - Cultural interview over lunch with the team.