Startups · AI

Founding Algorithm Developer

Fleetline · New York City · On-site

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About Fleetline

Fleetline is the all-in-one AI dispatch tool that optimizes and streamlines your fleet's operations, unlocking revenue, efficiency, and scale. Automate your workflows, aggregate load boards, and empower dispatchers to make optimal assignments effortlessly.... Backed by Y Combinator.

About the role

Build and scale core optimization algorithms used directly in production Write optimization systems (e.g. MILPs, LPs, heuristics, etc.)

What they're 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
More about this role

Fleetline writes optimization algorithms for enterprise trucking fleets. We work with some of the largest fleets in the country and are rapidly scaling our operations.

Scaled from 0 to $Xm in contracts in under eight months; month-over-month growth is still increasing

Lean team of 12 based in New York City; everyone deeply cares about the company’s mission, our clients, and each other. That care translates into high standards, close relationships, and intensity.

Backed by a large seed round from top investors like BoxGroup, Base10, and more.

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

In office in New York City is required.

Has experience writing optimization algorithms (MILPs, ML, DP, RL,...

Read the full posting on Fleetline's site ↗

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