Senior Machine Learning Engineer - AV Foundation, AV Labs

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. Were building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today unlocking real-world long-tail driving data. Autonomy is now a data race-and Uber has an edge

We collect rare real-world driving data at a scale and capital efficiency no one else can match millions of Uber trips every hour across cities conditions and edge cases create the data autonomy has been missing. We will build platforms that harness scale and real-world complexity to reimagine how the world moves.

You will be a Senior ML engineer in AV Labs conducting autonomous vehicle modeling and research with an emphasis on developing foundational and applied techniques that shape the future of autonomous driving. The ideal candidate will formulate research problems design and evaluate novel modeling approaches and influence the direction of large-scale autonomous systems through strong scientific judgment and execution. You will work cross-functionally with engineers from AV Labs and partner engineering teams which enables Ubers mission of helping people go anywhere and get anything and earn their way.

What the Candidate Will Need

Bonus Points----

What the Candidate Will Do ----

1. Design implement and deliver cutting-edge techniques for autonomous vehicle systems.
2. Lead the end-to-end model lifecycle and system architecture-from data and training through evaluation deployment and monitoring-across upstream and downstream dependencies.
3. Provide technical leadership through design reviews mentorship and hands-on execution.
4. Collaborate closely with engineering teams and product teams across AV Labs to integrate modeling approaches into production pipelines.
5. Publish and present original research at top-tier CV and ML conferences.

Basic Qualifications ----

1. PhD in Computer ScienceRobotics or a related field.
2. 3 years of relevant industry experience in the field of autonomous vehicles andor computer vision.
3. Experience building and deploying ML systems in real-world production environments.
4. Strong understanding of how to connect cutting-edge modeling techniques to autonomous vehicle systems in a scalable and reliable way.
5. Demonstrated technical contributions such as publications at leading ML and CV conferences e.g. CVPR ICCV ICLR NeurIPS or comparable technical outputs.
6. Proficiency in Python and modern deep learning frameworks such as PyTorch or TensorFlow.
7. Strong communication skills with experience providing technical leadership through mentorship design reviews and cross-team collaboration.

Preferred Qualifications ----

1. Experience with autonomous vehicles research.
2. Hands-on experience in trainingmultimodal LLMs for autonomous vehicle systems or relevant computer vision systems.
3. Recent publications in one or more of the following areas 3D perception & scene understanding multimodal embedding diffusion models gaussian splatting vision language action models and world models.

For Sunnyvale CA-based roles The base salary range for this role is USD202000 per year - USD224000 per year.

You will be eligible to participate in Ubers bonus program and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401k plan. You will also be eligible for various benefits. More details can be found at the following link httpsjobs.uber.comenbenefitshttpsjobs.uber.comenbenefits.

Ubers mission is to reimagine the way the world moves for the better. Here bold ideas create real-world impact challenges drive growth and speed fuels progress. What moves us moves the world - lets move it forward together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. If you have a disability or special need that requires accommodation please let us know by completing this formhttpsforms.gleaDWTk9k6xtMU25Y5A.

Offices continue to be central to collaboration and Ubers cultural identity. Unless formally approved to work fully remotely Uber expects employees to spend at least half of their work time in their assigned office. For certain roles such as those based at green-light hubs employees are expected to be in-office for 100 of their time. Please speak with your recruiter to better understand in-office expectations for this role.