Uber AI Solutions (UAIS) is a startup inside Uber, building the data and evaluation infrastructure behind the next generation of AI. The models making headlines are only as good as the data and feedback they learn from, and that is the work we do.
We are an agile team moving at startup speed with the full weight of Uber behind us: global reach, world class infrastructure, and one of the largest human networks in the world. We pair that network with machine learning to produce the high quality, model ready data that the most advanced AI teams on earth depend on. Our work spans every modality, from text, images, and video to audio and physical AI and AVs, and reaches across dozens of countries.
This is a place for builders who want real ownership. Here you own a problem, not a ticket: you take a vertical from start to finish, the machine learning, the backend systems, and the product, and drive it from a blank page to something the best customers in AI rely on every day. You work shoulder to shoulder with product managers and other exceptional engineers, go as deep as the problem demands, and make the calls that decide whether your area wins. It is the closest thing to running your own company, with a rocket strapped to it.
If you want your work to show up in the AI systems shaping the world, and you want to build it like a founder, this is the team.
What You'll Do
Build the ML and backend systems that turn your vision into a product customers pay for and rely on, going as deep as the problem requires.
Own your vertical end to end: find the opportunities, set the direction, and drive the business metrics that matter, such as revenue, adoption, and customer value.
Move fast in ambiguity: prioritize ruthlessly, make the calls, and turn ideas into shipped, revenue generating products with a product manager and a small senior team.
Be a trusted technical partner in the customer relationship where relevant, using what you learn to grow the account.
Raise the bar on execution and quality so your business can scale.
Basic Qualifications
Bachelor's or equivalent work experience in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
5+ years of professional experience designing, building, and operating production ML systems, including strong backend engineering across the full path from data to serving.
Track record of driving business impact, not just shipping features: you have owned a product or product line and helped move metrics such as revenue, adoption, or customer value.
Fluency in Python for machine learning and a production systems language such as Go, Java, or C++, and the ability to build reliable services and run them in production.
Comfort operating in ambiguity and moving fast: you find the highest value problems yourself, make the call, and drive them without waiting to be told.
Excellent communication skills, with the ability to align customers, product, and engineering around what will grow the business.
Preferred Qualifications
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.
Responsibilities
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.
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
- Bachelor's degree or equivalent work experience in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline
- 5+ years of professional experience designing, building, and operating production machine learning systems
- Strong backend engineering experience across the full path from data to serving
- Track record of owning a product or product line and driving business impact such as revenue, adoption, or customer value
- Fluency in Python for machine learning
- Fluency in a production systems language such as Go, Java, or C++
- Ability to build reliable services and operate them in production
- Ability to operate effectively in ambiguity, identify high-value problems, make decisions, and drive execution independently
- Excellent communication skills and ability to align customers, product, and engineering teams
- Master's or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline
- Experience growing a product or business line in a startup or startup-like environment
- Experience applying machine learning to real-world data or evaluation domains
- Production experience with GenAI and LLM systems, including evaluation harnesses, model tuning, forced alignment, ASR, or model-in-the-loop pipelines
- Depth in real-world data, agentic reinforcement learning environments, multilingual or multimodal machine learning, video and LiDAR annotation, physical AI, robotics data, or related UAIS domains
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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