Sr Staff Machine Learning Engineer - Uber AI Solutions

What you'll do

• Build scalable ML and backend systems and own a product vertical from direction through delivery.
• Drive measurable business growth, including revenue, customers, adoption, or market reach.
• Partner with key customers and cross-functional leaders, and help build and raise the bar for the team.

What they ask for

• Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related discipline.
• 7+ years building and shipping ML-powered products, with ownership of technology and business results for a significant product area.
• Demonstrated measurable business growth and ability to identify high-leverage opportunities in ambiguous settings.
• Deep expertise in machine-learning systems and backend distributed systems, plus exceptional communication and leadership skills.

Nice to have

• Scaled an early-stage product or business line, ideally in a startup-like environment, owning revenue and growth.
• Experience in an applied AI domain, production-scale GenAI/LLM systems, or a UAIS domain such as physical AI, agentic environments, multilingual/audio, or robotics.

Pay

USD $267,000 per year - USD $297,000 per year (base salary)

Tools

machine learning, backend distributed systems, GenAI, LLM systems, agentic RL environments

AI focus

Build ML and data/evaluation infrastructure and production systems for AI across modalities, including text, images, video, audio, physical AI, and autonomous vehicles; preferred work includes GenAI/LLM systems, evaluation, safety, and responsible deployment.