Junior Python Software Engineer – AI Task Design & RL Envs

Mechanize, Inc.; San Francisco (CA); On-site; USD 255,000 - 345,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Job summary

Mechanize in San Francisco designs reinforcement learning environments used to train frontier AI models. You will design, build, and refine RL tasks, owning the full lifecycle from idea to automated grading and evaluation. A strong Python background and comfort working independently are essential; no prior ML/AI experience is required.

The team emphasizes clever problem solving and deep technical fundamentals, with a fast-paced, independent work style and high ownership of tasks.

Qualifications

• Can code in Python.
• Are confident working independently.
• No prior ML or AI experience required.
• Have just graduated or are about to graduate.

Responsibilities

• Design, build, and refine RL tasks as self-contained software engineering challenges.
• Own the full lifecycle: ideation, grading infrastructure, running frontier models, and iteration until the task is rigorous and fair.

Skills

Python

Job description

Mechanize in San Francisco designs reinforcement learning environments used to train frontier AI models. You will design, build, and refine RL tasks, owning the full lifecycle from idea to automated grading and evaluation. A strong Python background and comfort working independently are essential; no prior ML/AI experience is required.

The team emphasizes clever problem solving and deep technical fundamentals, with a fast-paced, independent work style and high ownership of tasks.