# Member of Technical Staff, Post-Training, RL Environments at Mirendil

Mirendil is hiring a Member of Technical Staff, Post-Training, RL Environments in San Francisco, United States. It pays $300k a year and Level rates it Builds AI ●●●●; you can [apply on Mirendil](https://jobsbylevel.com/go/4891b80a-6e5a-4ff9-8ca2-4696a6968493?utm_medium=ai-agent).

AI Level 4, AI centrality 95 out of 100. San Francisco.

## Details

- Company: [Mirendil](https://jobsbylevel.com/companies/mirendil)
- AI level: AI Level 4 (score 95 out of 100)
- Location: San Francisco
- Salary: $300k
- Posted: June 24, 2026
- Apply: https://jobsbylevel.com/go/4891b80a-6e5a-4ff9-8ca2-4696a6968493?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=member-of-technical-staff-post-training-rl-environments-at-mirendil-e8c2b4

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/member-of-technical-staff-post-training-rl-environments-at-mirendil-e8c2b4

## Description

Mirendil Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We are building a frontier AI research company and training our own models end-to-end. The Role We are looking for a research engineer to build the data systems and execution environments that power reinforcement learning at Mirendil. The quality of our models depends directly on the quality of the data and environments we train on; you will own those systems end-to-end. Some example areas you might work on (not limited to): Build and automate data collection pipelines for complex, long-horizon RL tasks. Build robust systems to identify and prevent reward hacking. Build scalable sandboxed execution environments for realistic tasks involving potentially multiple agents, nodes, and users. Design systems to estimate the influence of training environments on production model behavior. Collaborate with teams across the stack to identify potential axes of improvements in production model behavior, and develop training environments to push these axes. If you're excited about building the data and environment infrastructure that determine what our models learn, we'd love to hear from you. We offer a base salary of $300,000–$400,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.

Source: https://jobsbylevel.com/jobs/member-of-technical-staff-post-training-rl-environments-at-mirendil-e8c2b4

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