Principal ML Engineer

About Agero

Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected.

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.