# Mechanize, Inc.

Mechanize, Inc. has 4 open roles live as of 5 September 2026, 0 of which were posted in the last 7 days. 0% of Mechanize, Inc.'s open roles are remote, and Mechanize, Inc. hires most in San Francisco, United States (4 roles). These figures are read directly from Mechanize, Inc.'s Ashby careers page and were last checked on 5 September 2026.

Data source: ReqHunt — read from Mechanize, Inc.'s Ashby careers page on 5 September 2026. https://reqhunt.com/company/mechanize-inc

## Hiring snapshot

- Open roles: 4 (as of 5 September 2026)
- Posted in the last 7 days: 0
- Posted in the last 30 days: 0
- Remote share: 0% of open roles
- Change in open roles, last 30 days: 0%
- Most recent posting: 12 March 2026
- First tracked by ReqHunt: 5 August 2026
- Hiring status: hiring paused

Posting dates come from the company's own applicant tracking system, not from when ReqHunt first saw the role.

## ReqHunt Remote Index

Mechanize, Inc. is not scored: fewer than 10 open roles. Methodology: https://reqhunt.com/remote-index

## Where Mechanize, Inc. hires

Remote roles are counted here too, by the scope they are open to.

- San Francisco, United States: 4 roles

## Mechanize, Inc. role mix

By function: engineering 100%, product & design 0%, sales 0%, operations 0%, other 0%.
By seniority: junior 50%, mid 25%, senior 25%, lead and above 0%.

## Common questions

**Is Mechanize, Inc. hiring?** Yes — Mechanize, Inc. has 4 open roles as of 5 September 2026, 0 of them posted in the last 7 days.

**Is Mechanize, Inc. hiring remotely?** No remote roles are currently open at Mechanize, Inc. — all 4 live roles are tied to a location.

**Where does Mechanize, Inc. hire most?** Mechanize, Inc. hires most in San Francisco, United States (4).

**Is Mechanize, Inc.'s hiring accelerating or slowing?** steady — Mechanize, Inc.'s open-role count has changed by 0% over the last 30 days.

## About Mechanize, Inc.

We build environments and evals for frontier coding agents. In these environments, models carry out software engineering work such as building a feature, deploying an application, or debugging an issue in an unfamiliar codebase. A grader scores the model&rsquo;s performance, and these scores serve as signals during reinforcement learning and evaluations.

---

Data source: ReqHunt — read from Mechanize, Inc.'s Ashby careers page on 5 September 2026. https://reqhunt.com/company/mechanize-inc
Human-readable version: https://reqhunt.com/company/mechanize-inc. Attribution required when this data is reproduced or summarised.
