Junior Software Engineer
External
Mechanize · San FranciscoFull-timeOn-site11mo ago
PythonReinforcement Learning
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Responsibilities
- What makes someone good at this
- Good fit if you:
- Have just graduated or are about to graduate
- Can code in Python
- Are confident working independently
- Are motivated by problems that require both technical skill and creative cleverness
- No prior ML or AI experience required
- We're happy to hire candidates who are very capable, even if they have no prior professional software experience.
- Probably not a good fit if you:
- Want a product engineering role building features for end users
- Prefer a highly collaborative team environment with shared ownership
- Want extensive structured mentorship
- This is independent, high-ownership work. You own your tasks from start to finish, with regular check-ins and feedback.
Benefits
Compensation includes a $300,000 base salary, equity, and performance bonuses. Top performers can earn more in bonuses than in base salary.Strong performers are recognized and promoted quickly. Benefits include health, dental, vision, and life insurance.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 , the Dwarkesh Podcast and Hard Fork .Learn more about the interview process: https://www.mechanize.work/how-our-interview-process-worksLearn more about the work: https://www.mechanize.work/what-working-here-is-likeHealth insuranceDental insuranceVision insuranceEquity / stock optionsPerformance bonus
Additional Information
About Mechanize Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models. Learn more at 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. We build the environments that expose those failures and help models improve.
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