Software Engineer, ML Research

Codeium is a leader in AI developer tools, providing code autocomplete and in-editor chat assistants for hundreds of thousands of users worldwide.
$140,000 - $220,000
Machine Learning
Senior Software Engineer
In-Person
51 - 100 Employees
5+ years of experience

Description For Software Engineer, ML Research

Codeium, a leader in AI developer tools, is seeking a Software Engineer focused on ML Research to join their mission of building AI superpowers for developers. As the only code assistant tool featured on the Forbes AI 50 List, Codeium offers code autocomplete and in-editor chat assistants across 70+ programming languages and 40+ editors.

The role involves:

  • Training and fine-tuning large language models
  • Prioritizing high-value ML experiments for maximum product impact
  • Designing, tracking, and analyzing experiment results
  • Participating in ML reading groups to enhance team knowledge

Ideal candidates should have:

  • Strong software engineering skills
  • Deep understanding of CS, AI, and LLMs
  • Curiosity about code generation
  • Experience with large production neural networks (preferred)
  • Familiarity with AI-powered developer tools (preferred)

Codeium believes in in-person work at their Mountain View, CA office. They focus on research that directly improves their product, emphasizing excellent software engineering skills and the importance of infrastructure and evaluation work.

Recent projects include:

  • Deploying autocomplete and chat products for hundreds of thousands of daily active users
  • Instruction and edit fine-tuned models for Codeium Command
  • Realtime context retrieval
  • Codebase fine-tuning

Join Codeium to work on cutting-edge AI technology and make a significant impact in the developer tools space.

Last updated 4 months ago

Responsibilities For Software Engineer, ML Research

  • Train and fine-tune large language models
  • Navigate uncertainty and prioritize high-value ML experiments
  • Demonstrate initiative and independence in project progress
  • Design, track, and analyze experiment results
  • Document findings and conduct ablation studies
  • Participate in ML reading group to enhance team knowledge

Requirements For Software Engineer, ML Research

Python
  • Strong software engineering skills
  • Strong grasp of CS, AI, and LLMs feasibility frontier
  • Deep curiosity about the code generation problem
  • Ability to transform experimental outcomes into scalable product features
  • Experience training large production neural networks (preferred)
  • Familiarity with AI-powered developer tools (preferred)

Benefits For Software Engineer, ML Research

Equity
  • Equity

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