Sr Staff Machine Learning Engineer - Uber AI Solutions

Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related discipline.

7+ 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.

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.