Machine Learning Engineer

Arrive Logistics (3 years ago)

HybridFull TimeMedior$67,284 - $90,165 (estimated)Machine Learning Engineering

About this role

A Machine Learning Engineer at Arrive Logistics helps expand and maintain the company’s ML platform and ML-powered products that support the transportation and logistics business. The role contributes to strategic roadmap initiatives that drive business outcomes and helps ensure solutions are production-ready and reliable. Based in Austin, TX, the position sits within a growing engineering organization at a transportation technology company.

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Required Skills

Python
ML Ops
Model Serving
Kubernetes
Docker
Postgres
Elasticsearch
Scikit-Learn
Pandas
Numpy

+8 more

Qualifications

Bachelor’s Degree in Computer Science, Engineering, or Related Field

About Arrive Logistics

arrivelogistics.com

Arrive Logistics is a U.S.-based, technology-enabled freight brokerage and logistics provider that connects shippers and carriers across truckload, dedicated, and intermodal services. Positioning itself as one of the nation’s fastest-growing brokerages, it emphasizes reliable capacity, real-time visibility, and hands-on customer service to move freight efficiently. Arrive offers solutions for companies that need to ship or haul — from load matching and dedicated fleets to analytics and supply-chain support. Their tagline, “We Deliver, So You Can,” reflects a focus on execution and scale for commercial shippers and carrier partners.