Senior AI RL Engineer — Systems & Infrastructure

Mechanize; Oakland, San Francisco (CA, CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Job summary

Mechanize, a San Francisco–based start-up building reinforcement learning environments for frontier AI labs, seeks engineers to design, build, and refine RL tasks. You will own the full lifecycle from ideation to grading and iteration, tackling multi-step workflows, large codebases, and real stakeholder interactions.

You will guide coding agents, evaluate outputs, and contribute to shared infrastructure. You should bring deep software engineering experience across domains and strong Python

Qualifications

• Deep software engineering across multiple domains.
• Ability to code in Python.
• Extensive experience working with coding agents.
• Familiarity with infrastructure, distributed systems, performance, security or related areas.

Responsibilities

• Design, build and refine RL tasks, owning the full lifecycle from ideation through grading and iteration.
• Work on complex environments with multi-step workflows and real stakeholder interactions.
• Mentor newer team members and contribute to shared infrastructure.

Job description

Mechanize, a San Francisco–based start-up building reinforcement learning environments for frontier AI labs, seeks engineers to design, build, and refine RL tasks. You will own the full lifecycle from ideation to grading and iteration, tackling multi-step workflows, large codebases, and real stakeholder interactions.

You will guide coding agents, evaluate outputs, and contribute to shared infrastructure. You should bring deep software engineering experience across domains and strong Python