Full-Time
Research Engineer
Alignment
Mechanize
11-50 employees
AI training environments for software engineering
No salary listed
Company Does Not Provide H1B Sponsorship
San Francisco, CA, USA
In Person
Bachelor's, Master's, PhD
 AI & Machine Learning (1) |
|---|
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- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; demonstrated experience with machine learning model evaluation, alignment research, or safety testing
- Design, implement, and run evaluation suites to test for misaligned model behaviors; analyze model outputs to identify patterns such as sycophantic, dishonest, or unsafe responses; develop metrics and benchmarks for evaluation; document methodologies and results; collaborate with research and engineering teams to iteratively improve model alignment.
- Advanced degree in a related field; experience with red team testing, adversarial prompt design, or chain-of-thought evaluation; publications or prior work in AI alignment or safety; strong Python and data analysis skills; familiarity with ML frameworks and evaluation tooling
Mechanize builds high-fidelity reinforcement learning (RL) environments used by leading AI labs to train models on real-world work tasks. Their simulated work scenarios mimic complex job functions–such as building features, debugging code, and deploying software–allowing AI systems to learn through performance and reward signals rather than static data. Mechanize doesn't train AI models itself or ship consumer products; instead, it focuses on creating the specialized virtual environments that help advance AI capabilities, with a current emphasis on automating software engineering and a long-term vision of enabling AI to handle valuable work across the economy. Backed by prominent tech investors, the company is actively hiring engineers to build these environments.
Company Size
11-50
Company Stage
Seed
Total Funding
N/A
Headquarters
N/A
Founded
N/A
Get referred to Mechanize
See people who can refer or advise you
Simplify's Take
What believers are saying
- Mechanize’s environments target automation of high-value software engineering and office work.
- Strong investor backing enables rapid scaling and development of advanced training data.
- Their focus on robustness addresses key AI limitations like unreliability and long-context performance.
What critics are saying
- Major AI labs could outpace Mechanize by building superior in-house RL environments.
- Technical barriers in automating complex tasks may delay product-market fit for years.
- Dependence on a few large AI labs exposes Mechanize to customer concentration risk.
What makes Mechanize unique
- Mechanize builds simulated digital offices for training AI agents in real-world tasks.
- Their environments support multi-agent collaboration and realistic software tools missing in standard RL setups.
- Mechanize sells RL environments to top AI labs, not consumer-facing automation products.
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Benefits
Health Insurance
401(k) Retirement Plan
Flexible Work Hours
Unlimited Paid Time Off
Paid Vacation
Hybrid Work Options
Stock Options
Company Equity