Job Description

Job Responsibilities:

• Passionate about coding since childhood with a drive to dive deep into technology. You maintain extremely high standards for code quality, love writing tests, and are familiar with deployment strategies like canary releases and rollbacks. You possess a strong sense of risk management.
• Familiar with at least one AI coding assistant (e.g., Claude Code, Codex or Cursor) and have developed your own insights and best practices for using them.
• Proficient in one or more of the following languages: Rust, Python, or TypeScript.
• Possess a sharp eye for spotting "garbage" code/implementation. You are willing to give blunt, direct feedback (call out bad code) and are equally thick-skinned enough to receive it.
• Strong debugging and experimental discipline. You can investigate discrepancies across code, configuration, infrastructure, and results, then turn ambiguous findings into reproducible conclusions.
• Comfortable owning complex, long-running technical workflows end to end, including implementation, validation, documentation, and follow-through.

Skills:

• Strong engineering background, AI model training.
• Python/PyTorch.
• Experience with ML evaluation, distributed systems, developer infrastructure, or large-scale testing.
• Experience maintaining benchmarks or test suites while underlying models, APIs, and infrastructure evolve.

Education/Experience:

• Bachelor’s degree in a related field.

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