Staff Machine Learning Engineer - Uber AI Solutions

• Master's or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
• You have grown a product or business line in a startup or startup like environment, owning outcomes end to end and treating revenue and customer growth as your job.
• Experience applying machine learning to a real world data or evaluation domain, such as physical world data collection, RL environments and agentic evaluation, multilingual or audio data, or data quality and verification, where success was measured by business impact rather than model metrics alone.
• Direct experience with GenAI and LLM systems in production, including evaluation harnesses, model tuning, forced alignment or ASR, or pipelines that keep a model in the loop.
• Depth in one or more UAIS domains: real world and physical world data such as POI and embodied capture, agentic RL environments, multilingual and multimodal ML, video and LiDAR annotation, or physical AI and robotics data.

For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.

All full-time employees are eligible to participate in a 401(k) plan.

You will also be eligible for various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one.

If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits.

Explore our benefits.

Offices remain key to collaboration and Uber's culture.

Unless approved for full remote work, employees must spend at least 50% of their time in-office.

Some roles, like those at greenlight hubs, require full-time in-office presence.

Ask your Recruiter for details about this role's requirements.

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 form.