Principal ML Engineer

🕒 February 27

🌵 Arizona, California, +11 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🐎 Kentucky – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Tennessee – Remote ⚔️ Virginia – Remote

💵 $150k - $200k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Agero, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

🚗 Transport

Transport • Technology • Automotive

Agero, Inc. is a leader in the driver assistance industry, providing a comprehensive suite of solutions including roadside assistance, accident management, and an electric vehicle experience. The company serves a wide range of industries including automakers, insurance providers, and service providers. Agero's solutions are powered by their intelligently designed platform, SWOOP, which enhances transparency and real-time communication. With over 115 million drivers protected annually and partnerships with top insurance carriers, Agero is dedicated to transforming the driving experience through digital innovations and strategic partnerships.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families. • Financial Security: 401(k) plan with company match and tuition assistance to support your future goals. • Work-Life Balance: Flexible time off, paid sick leave, and ten paid holidays annually. • Family Support: Parental planning benefits to assist associates through life’s milestones. • Bonus/Incentive Programs