Forward Deployed Engineer

Highlights

• Turn frontier interpretability research into deployed reality with partners.
• Embed with partner engineering teams to run fast pilots proving platform impact.
• Build production integrations into customer model training stacks end-to-end.

What they offer

• Market competitive salary
• Equity
• Competitive benefits

Ideal candidate

Scrappy, high-ownership generalist who thrives in ambiguity alongside customers and loves turning research into production. You care deeply about understanding and shaping AI and communicate clearly with technical teams.

Requirements

• Strong software engineering skills with production experience in Python and modern ML frameworks (PyTorch, JAX).
• Ability to work across research and engineering boundaries - you can understand a new technique and figure out how to ship it.
• Scrappiness, willingness to persist in ambiguity, ability to learn quickly, and a generalist "can-do" mindset.
• Strong communication skills - you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.