Senior Software Engineer - Machine Learning

Schedule: Full Time Employment Job Type: Hybrid Salary Type: Salary Req #: 2536 No immigration sponsorship or transfer available for this role.

About The Team

The Uber Freight team is building a better future for shipping. We believe that when shippers and carriers have the freedom to move together, the entire industry moves ahead. Our teams design and build innovative applications, infrastructure, and models to power Uber Freight.

Utilizing Uber's foundational elements, these include the mobile app for Carriers, the portals and integrations that give Shipper’s access to the platform, tools for our Operations teams, and all the underlying pricing, matching, and forecasting algorithms that evolve the freight industry forward. What the candidate will do As a Senior Engineer you will drive the development of high-impact solutions for Uber Freight’s marketplace and operations by leveraging a deep foundation in traditional machine learning alongside emerging Generative AI applications. You will spearhead the end-to-end lifecycle of predictive models—from identifying step-change opportunities and researching advanced techniques to overseeing rapid prototyping and robust production monitoring at scale.

While your primary focus will be on optimizing logistics operations and network effects through core ML, you will also guide the team in integrating GenAI and Agentic systems where they drive the most business value, collaborating with cross-functional stakeholders to deliver scalable, production-ready models that redefine efficiency.

Qualifications

At least 5+ years of Machine Learning engineering experience Experience deploying ML models at scale using frameworks like PyTorch, TensorFlow, Scikit-Learn, or Spark MLlib Experience in one or more programming languages including Python, Go or Java Proven experience with designing and implementing machine learning models in production environments with large data sets Deep understanding of ML theory and a broad toolkit of algorithms, including deep learning, instance-based learning, and traditional statistical models

Preferred Qualifications

-- and graph processing technologies. Explain communicate Algorithm choices, ML system design concepts to leadership, technical peers industry experts Strong adherence to metrics driven development, with a disciplined and analytical approach to product development.

Benefits

like a company sponsored health plan, dental and vision

, 401k match, financial and mental wellness

, parental leave, short- and long-term disability coverage, life insurance and more.

Compensation

S.

depending upon the role. About Uber Freight Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions.

That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. com .

Candidate Privacy Notice Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice .