Mechanize
Software Engineering Intern
San Francisco · Intern · Internship
Sponsorship not specifiedDetected 244 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
Benefits
- include 401k, health, dental, vision, and life insurance.
- Mechanize builds reinforcement learning environments that frontier AI labs use to train and evaluate their coding models.
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.
Apply directly at Mechanize →Create a free account for alerts like thisView Mechanize immigration profile
This listing is sourced directly from Mechanize's careers page and normalized into a canonical job model.