About the role- Build and scale core optimization algorithms used directly in production
- Write optimization systems (e.g. MILPs, LPs, heuristics, etc.)
- Build and maintain data pipelines that operate at real production scale
- Move quickly from idea 12 implementation 12 customer usage
- Contribute to long-term product and technical direction
- Willingness to do whatever is needed technically, from deep algorithm work to integration and tooling
- Comfortable being forward-deployed: talking to customers, understanding constraints, and solving concrete problems
- In office in New York City is required.
What we19re looking for- Has experience writing optimization algorithms (MILPs, ML, DP, RL, stochastic models, heuristics, or similar)
- A generalist who can operate across the stack when needed
- Ships code fast and often; not a perfectionist
- Comfortable working in ambiguity with incomplete information
- Extremely hardworking when part of a strong, mission-aligned team
- Background may include top startups or big tech, ex-founder / founding engineer experience, or serious side projects that are shipped and live
- Comfortable with Python and TypeScript
Pedigree is not important. We19re looking for people who are intelligent, gritty, curious, and good at moving quickly.
