Role Description and Mission:

Agero’s Motor Club handles millions of roadside events every year. We’re piloting a next-gen Dispatch System that fuses short and long-term horizon optimizers to decide who gets which job, when, and why.

You will be instrumental in developing, evaluating and productionizing this system, building out the prediction models, incorporating them into the optimizer and leading the team to a successful outcome.

Key Outcomes:

• Architect & ship: Design end-to-end Python services (batch + streaming) that ingest model outputs, run constrained optimization, and surface real-time dispatch decisions.
• Model & simulate: Build/extend ML models (gradient-boosting, deep learning, OR-Tools) and run time-horizon simulations to quantify cost vs. service-level trade-offs.
• Operationalize: Automate training, validation, A/B rollout, and monitoring (SageMaker / Airflow).
• Lead & collaborate: Partner with Product, Ops, and Data Engineering; mentor a small squad of ML engineers; present findings to execs.
• Continuously improve: Instrument NPS / cost telemetry, identify failure modes, and iterate.

Skills, Education, & Experience:

• 6 + yrs experience in ML Engineering with ownership of production systems.
• Expert-level Python.
• Hands-on optimization (Mixed Integer Programming / Linear Optimization / Stochastic Optimization) and modern ML (XGBoost, PyTorch).
• Proven record designing cloud-native pipelines on AWS, GCP or Azure (AWS).
• Strong SQL, feature-store design, and data-quality mindset.

Nice to Haves:

• Experience with dispatch, logistics, or supply-demand marketplaces.
• Familiarity with Monte-Carlo tree search, multi-agent simulation, or hierarchical RL.
• Prior work balancing short-term incentives against long-term KPIs (e.g., LTV, NPS)
• Ability to translate business objectives into mathematically rigorous experiments.

Sound like a fit? Reach out with a link to your GitHub or a brief project write-up.

Hiring In:

• United States: AZ, CA, FL, GA, NH, IL, KY, MA, MI, NC, NM, NY, TN, VA, CO, TX

The anticipated closing date to submit applications for this role is May 18th, 2026. Join our Greenhouse Candidate Portal to track your application status and receive instant alerts for future openings.