Arrive Logistics
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.
Headquarters
Austin, Texas, United States
Company Size
1001-5000 employees
Founded
2014
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.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Arrive Logistics .
Arrive Logistics didn’t post a salary, so this is our estimate from similar listings.
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