Mechanize
Junior Software Engineer
San Francisco · Junior
Sponsorship not specifiedDetected 368 days ago
PythonMachine LearningMentoring
About the role
- Learn more at mechanize.work http://mechanize.work.
- Why the work matters AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering.
- Each task is a self-contained software engineering challenge with a prompt, an environment, and an automated grader.
Responsibilities
- You'll design, build, and refine RL tasks.
- You own the full lifecycle: coming up with the idea, implementing the grading infrastructure, running frontier models against the task, analyzing where and why they fail, and iterating until the task is rigorous and fair.
- Want a product engineering role building features for end users
- You own your tasks from start to finish, with regular check-ins and feedback.
Requirements
- No prior ML or AI experience required
Compensation
- Compensation includes a $300,000 base salary, equity, and performance bonuses. Top performers can earn more in bonuses than in base salary.
- About Mechanize. ~20 person team in San Francisco.
- Backed by Patrick Collison, Nat Friedman, Daniel Gross, Jeff Dean, Dwarkesh Patel, and Sholto Douglas.
- Featured in the New York Times https://www.nytimes.com/2025/06/11/technology/ai-mechanize-jobs.html, the Dwarkesh Podcast https://www.dwarkesh.com/p/ege-tamay and Hard Fork https://www.youtube.com/watch?v=M5Lycj5IRwQ.
- Learn more about the interview process: https://www.mechanize.work/how-our-interview-process-works
- Learn more about the work: https://www.mechanize.work/what-working-here-is-like
Benefits
- include health, dental, vision, and life insurance.
Company info
- You will use coding agents heavily, and a large part of the job is directing them well, evaluating their output, and knowing when they are failing in subtle ways.
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