Staff MLE - AI Solutions

About The Role

Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. They also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems.

This is an early stage opportunity with significant potential to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases such as Gen AI Labeling, Image/Audio/Video Classification, Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, and training ranking models to recommend gigs to earners.

What You'll Do

• Contribute to and influence the technical direction for Staff MLE - AI Solutions.
• Identify key problems that benefit from ML expertise.
• Design and develop a suite of ML models to solve critical problems.
• Collaborate with backend and frontend engineers for seamless integration.
• Explore novel ideas and innovative solutions.
• Work with ML Ops and other teams to improve model performance.
• Mentor engineers across the organization to raise the technical bar.

Basic Qualifications

• Ph.D., MS, or Bachelors degree in Computer Science or a related field.
• Proficiency in Computer Vision, Natural Language Processing, or Deep Learning including Generative AI.
• Strong desire for continuous learning and professional growth.
• Excellent problem-solving and analytical skills.
• Proven ability to collaborate effectively as a team player.

Preferred Qualifications

• 8+ years of industry experience in ML/AI.
• A strong publication record in top-tier AI/ML conferences and journals.
• Experience in training large models on distributed infrastructure.
• Demonstrated ability to rapidly prototype and experiment.
• Proven collaboration across departments.

Compensation and Benefits

For San Francisco, CA and Sunnyvale, CA based roles, the base salary range is USD 232,000 - USD 258,000 per year. All US positions include eligibility for Uber's bonus program, potential equity awards, 401(k) plan participation, and other comprehensive benefits. More details available at Uber Benefits.

Key skills/competency

• Machine Learning
• Artificial Intelligence
• Computer Vision
• NLP
• Deep Learning
• Generative AI
• Data Annotation
• Model Integration
• Mentorship
• Distributed Systems