Member of Technical Staff

About Deeptune

Deeptune builds training gyms for AI agents: high-fidelity simulation environments where AI learns to do real work through reinforcement learning. We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion.

We're a ~20-person team of engineers and operators from Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, based in-person in New York City. We recently raised a $43M Series A led by Andreessen Horowitz, with participation from 776, Abstract Ventures, and Inspired Capital.

If you want to work on the hardest problems at the intersection of reinforcement learning and real-world AI deployment, we'd love to hear from you.

Read more: Fortune exclusive on our Series A | a16z: Why we're investing in Deeptune

About You

You’re a strong developer across backend and infrastructure (Python, Go, TypeScript, etc.) with a deep interest in agentic AI.

• We care more about what you’ve done, not how long you’ve been doing it.

• You’ve been a founding engineer, founded your own company, or had a major impact at a top-tier company, and you’re ready to join an early-stage team.

• You are motivated by ownership, impact, and building frontier tech.

• Your work is a craft you want to master.

• You thrive in ambiguity and love hard problems.

• You appreciate diverse perspectives and uncommon ideas.

• You are excited about building in-person, 5 days a week, from our office in Union Square NYC.

Comp & Equity

• $150K - 300K base

• Very strong equity

Benefits

• 100% paid medical and dental coverage

• Professional development budget

• Daily team lunches

• Commuter benefits

• Unlimited PTO

Interview process

1. You submit an application that will be reviewed by a human

2. Intro call with Jesse (said human, and founding recruiter)

3. Technical / Culture call with a founding engineer

4. Join us onsite for a full day hackathon, have lunch with the team, complete our final round challenge, and meet Tim, our founder

5. Offer decision within 24 - 48 hrs