Founding Algorithm Developer
Develops and scales core optimization algorithms (MILPs, LPs, heuristics) for trucking fleet dispatch optimization. Builds production data pipelines, contributes to product direction, and engages directly with customers. Requires Python/TypeScript proficiency and fast shipping in ambiguous environments.
About the job
Responsibilities
- 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 → implementation → 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.
Requirements
- Experience writing optimization algorithms (MILPs, ML, DP, RL, stochastic models, heuristics, or similar).
- 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.
Skills
Milp, Lp, Heuristics, Python, TypeScript, Data Pipelines, Dynamic Programming, Reinforcement Learning, Stochastic Models, Machine Learning
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