Agero is a leading provider of driver assistance, accident management, consumer affairs support and connected vehicle services for stakeholders across the automotive industry, including the world’s largest automakers, auto retailers, insurers, rideshare providers and other brands. As the driving force behind mobility support throughout all points in the vehicle ownership journey - from purchase to maintenance and breakdown to resell or trade in - we deliver a suite of powerful, innovative services and technology solutions that enable our 100+ clients to provide their drivers with enhanced communication, safety, and convenience for whatever their vehicle need.

Engineering Manager, ML and Optimization Systems

Engineering ManagerEngineering ManagerFull TimeRemoteTeam 1,001-5,000Since 1994H1B No SponsorCompany Site LinkedIn

Location

Arizona + 11 more

Posted

59 days ago

Salary

$150K - $200K / year

Bachelor Degree6 yrs expEnglishAirflowAWSCloudPythonPy TorchSQL

Job Description

• Manage a team of Data Scientists, ML Engineers, and Software Engineers focused on architecting, building, and operating the Dispatch Optimization platform. • Drive scientific rigor and engineering excellence to transform model outputs into real-time, high-impact dispatch decisions that directly optimize cost efficiency and service levels. • Own the successful implementation and delivery of projects defined on the ML roadmap. • Lead the process to define and select the optimal Data Science, Machine Learning, and Optimization strategy. • Guide the design and implementation of end-to-end cloud-native Python services that execute constrained optimization algorithms and deliver low-latency, real-time dispatch decisions. • Partner effectively with Product, Operations, and Data Engineering teams to communicate complex technical findings, scientific trade-offs, and operational risks to non-technical stakeholders and executive leadership.

Job Requirements

Bachelor's Degree (Master's preferred) in Computer Science, Computer Engineering, Data Science, Operations Research, or a closely related quantitative field.
6+ years relevant experience in Data Science, ML Engineering, or Operations Research, with significant experience transitioning research models into production-grade, scalable systems.
2+ years proven experience in engineering management or a similar technical leadership role, specifically managing Data Science or ML Engineering teams.
Demonstrated track record of successfully leading and shipping complex DS/ML and Optimization projects (e.g., dispatch platforms, real-time decision engines) that delivered measurable business value.
Experience managing and operating 24x7 real-time information systems and/or technical operations.
Deep understanding of Data Science, ML techniques (e.g., XGBoost, PyTorch, Transformers), optimization methods (MIP/Linear/Stochastic), and architectural requirements for low-latency, real-time decision services. Skilled in Python, SQL, and Cloud (AWS) MLOps and Data pipelines (Airflow, SageMaker, or equivalents).

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