Base Salary
$302k - $336k/yr
Responsibilities
- Build production machine learning and backend distributed systems for AI data and evaluation infrastructure.
- Own an AI vertical end to end, including strategy, technical direction, product development, customers, revenue, adoption, and market reach.
- Identify high-leverage opportunities in ambiguous spaces and drive them to measurable business impact.
- Make strategic and technical decisions that support durable business growth.
- Serve as a trusted technical partner in strategic customer relationships and use customer insights to shape product direction.
- Lead work across physical AI, agentic environments, evaluation, multimodal and multilingual ML, audio, robotics, and related AI domains.
Requirements
- Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related discipline.
- 10+ years of experience building and shipping products powered by machine learning.
- Demonstrated ownership of both technology and business results for a significant product area.
- Proven ability to grow a business through revenue, adoption, market expansion, or similar measurable outcomes.
- Deep expertise in machine learning systems and backend distributed systems, including production systems that scale.
- Strong ability to operate in ambiguity, identify high-leverage opportunities, and drive business impact.
- Exceptional communication and leadership skills for aligning customers, product teams, and business leadership.
- Preferred: experience taking a product or business line from early stage to meaningful scale, ideally in a startup-like environment.
- Preferred: ownership of an applied AI product domain such as real-world data, agentic environments, evaluation, or multimodal and multilingual ML.
- Preferred: production-scale GenAI and LLM expertise spanning architecture, evaluation, safety, and responsible deployment.
- Preferred: depth in physical AI data, agentic reinforcement-learning environments and evaluation, multilingual and audio systems, robotics, or egocentric data.
- Preferred: strategic customer relationship ownership and management experience in a TLM capacity.
Benefits
- Base salary range of USD $302,000-$336,000 per year for San Francisco and Sunnyvale, California-based roles.
- Eligibility for Uber's bonus program and potential equity awards and other compensation.
- 401(k) plan eligibility for all full-time employees.
- Eligibility for various employee benefits.
Tech Stack
Categories
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. 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. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.