About the Team:
The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Personalization, Generative AI, Computer Vision, ML Optimization and Geospatial AI.
About the Role:
We are building AI-native discovery experiences across Mobility and Delivery. Search, recommendations, and conversational AI are central to how millions of users discover rides, restaurants, grocery items, and retail products every day. We are hiring a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering these experiences.
At this level, you will not just build models — you will shape technical direction across teams, influence product strategy, and deliver measurable impact at global scale.
What the Candidate Will Do
- Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI.
- Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility).
- Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants.
- Define long-term investment areas (build vs fine-tune vs partner models).
- Mentor senior engineers and act as a technical multiplier across the org.
Basic Qualifications
- Masters degree or Ph.D in Computer Science, Engineering, Mathematics
- 8+ years of ML experience, including significant work on large-scale deep learning systems.
- Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI.
- Deep expertise in transformers, retrieval systems, ranking, and embedding architectures.
- Strong experience with PyTorch and distributed training .
- Track record of influencing technical direction across teams.
- Strong product intuition and ability to connect model improvements to business outcomes.
Preferred Qualifications
- Experience leading multi-team ML initiatives.
- Defined long-term technical roadmaps adopted across orgs.
- Elevated engineering standards through mentorship and technical leadership.
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 Seattle, WA-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.
About UsReady 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.
Skills Required
- Master’s degree or Ph.D. in Computer Science, Engineering, or Mathematics
- 8+ years of machine learning experience
- Significant experience with large-scale deep learning systems
- Ownership of high-impact ML systems in search, recommendations, or conversational AI
- Deep expertise in transformers, retrieval systems, ranking, and embedding architectures
- Strong experience with PyTorch and distributed training
- Track record of influencing technical direction across teams
- Strong product intuition and ability to connect model improvements to business outcomes
- Experience leading multi-team ML initiatives
- Experience defining long-term technical roadmaps adopted across organizations
- Experience elevating engineering standards through mentorship and technical leadership
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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