Principal Engineer, UAIS

Uber; United States; Hybrid; USD 302,000 - 336,000; Full time

Job summary

Uber AI Solutions (UAIS) seeks a Principal Engineer to own high-impact AI data verticals, combining ML and backend systems with strategic customer relationships. You will drive end-to-end ownership of growth metrics, including revenue and market reach, and shape the technology and business strategy in partnership with customers and product leadership.

In this founder-minded role, you will tackle production ML, large-scale distributed systems, and real-world AI challenges, delivering

Qualifications

• Advanced degree in CS/ML/EE/Math or related field.
• 10+ years building and shipping ML-powered products with ownership of tech and business results.
• Proven track record of growing a business with measurable outcomes such as revenue, adoption, or market expansion.

Responsibilities

• Build ML and backend systems powering growth and durable products.
• Own vertical end-to-end: set direction, drive growth metrics like revenue and customers.
• Make strategic and technical calls in ambiguous space to decide business outcomes.
• Be a trusted technical partner in key customer relationships to grow the account.

Skills

ML systems

Backend distributed systems

Business growth impact

Leadership

Cross-functional collaboration

Education

Master's or PhD in CS/ML/EE/Math

Job description

About the Role

Uber AI Solutions (UAIS) operates as an agile startup inside Uber, building the mission-critical data and evaluation infrastructure that powers the world's most advanced AI models. We are seeking a Principal Engineer with a founder mindset to take true end-to-end ownership of high-impact AI data verticals. In this role, you will go deep on the hardest technical challenges across production ML, high-scale backend distributed systems, and real-world physical AI - shaping strategy, driving durable business growth, and serving as a key partner in strategic customer relationships.

What You'll Do

• Build the ML and backend systems that make the growth real and durable, going deep on the hardest problems yourself.
• Own your vertical end to end: set the direction, find where the growth is, and drive the business metrics that matter, such as revenue, customers, and market reach.
• Move fast and decisively in ambiguity, making the strategic and technical calls that decide whether the business wins.
• Be a trusted technical partner in the most important customer relationships, using them to grow the account and shape what you build next.

What You Need

• Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related discipline.
• 10+ years building and shipping products powered by ML, with a history of owning both the technology and the business results for a significant product area.
• Proven track record of growing a business, not just running it: you have driven significant, measurable business growth such as revenue, adoption, or market expansion.
• Deep expertise in both machine learning systems and backend distributed systems, with the ability to build production systems that scale as the business grows.
• A track record of finding the highest leverage opportunities in an ambiguous space and driving them to real business impact.
• Exceptional communication and leadership skills, with the ability to align customers, product, and business leadership around a growth agenda.

Preferred Qualifications

• You have taken a product or business line from early stage to meaningful scale, ideally in a startup or startup like environment, owning revenue and growth throughout.
• Experience as the owner of an applied AI product domain, such as real world data, agentic environments, evaluation, or multimodal and multilingual ML, where you drove significant business outcomes.
• Expertise in GenAI and LLM systems at production scale, spanning architecture, evaluation, safety, and responsible deployment.
• Depth in a domain central to UAIS such as physical world and physical AI data, agentic RL environments and evaluation, multilingual and audio, or robotics and egocentric data, and a track record of owning strategic customer relationships.
• Management experience in TLM capacity is helpful

About Uber AI Solutions

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.

Ready to Ride?

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.

For San Francisco, CA-based roles: The base salary range for this role is USD $302,000 per year - USD $336,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $302,000 per year - USD $336,000 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.