Hiring: Staff Machine Learning Engineer - Uber AI Solutions Company: Uber Location: San Francisco, CA Job Posted Time: 2026-09-03 10:40:14 Employment Type: Full-time / Remote Target Skills & Keywords : Agile, C++, Java, LLM, Machine Learning, Product Management, Python About the job Experience: •5+ years of professional experience designing, building, and operating production ML systems, including strong backend engineering across the full path from data to serving. Required Skills: •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. Qualifications: •Bachelor's or equivalent work experience in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline. •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. •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. •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. •For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. Compensation: •$232,000 per year •$258,000 per year •Flexible work environment (work from home / hybrid options) •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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!