Sr Staff Machine Learning Engineer- Consumer Incentives

Own and execute long-term machine learning strategy for Uber’s Consumer Incentives team, spanning modeling, experimentation, and scalable ML systems.

Responsibilities

• Define the long-term ML vision, architecture, and technical roadmap for Consumer Incentives, aligning investment with consumer needs and business priorities.
• Convert ambiguous, high-uncertainty problems into actionable technical strategies, driving end-to-end execution across problem formulation, offline evaluation, experimentation, production deployment, and continuous improvement.
• Build models and algorithms to improve incentive relevance, estimate incremental impact, and optimize decisions under business and operational constraints.
• Lead and contribute hands-on to end-to-end ML systems: data and feature pipelines, model training, inference, and monitoring, with emphasis on reliability, scalability, and maintainability.
• Establish strong approaches for model evaluation, experimental design, and causal measurement, balancing short-term results with long-term consumer value and sustainable growth.
• Assess where reinforcement learning, foundation models, and generative AI can improve products, then guide promising approaches from exploration through production.
• Collaborate with product management, data science, operations, and engineering leadership to prioritize opportunities, make technical tradeoffs, and deliver shared outcomes.
• Mentor engineers and technical leaders, improve quality of technical decision-making, and build reusable capabilities that accelerate cross-team execution.

Requirements

• Masters degree or Ph.D in Computer Science, Engineering, Mathematics.
• 12+ years of ML experience, including substantial work on large-scale deep learning systems.
• Proven ownership of high-impact ML systems such as search, recommendations, personalization, and targeting.
• Demonstrated ability to set technical strategy for a large organization and influence product roadmaps at an executive level.
• Strong product intuition with ability to connect model improvements to business outcomes.

About the Role and Team

• Consumer Incentives team operates across major business areas like grocery and food, supporting Uber growth and long-term profitability.
• The team builds AI/ML-powered intelligence and distributed systems to create seamless, affordable, enjoyable customer experiences for hundreds of millions of global users.

Preferred Qualifications

• Track record of launching multi-year, multi-org ML initiatives that drove step-change business outcomes.
• Experience championing and driving adoption of multi-year technical roadmaps across multiple large engineering organizations.
• Proven ability to elevate engineering standards through mentorship and technical leadership, establishing org-wide best practices.

Benefits

• Eligible to participate in Uber’s bonus program.
• May be offered an equity award and other types of compensation.
• Eligible to participate in a 401(k) plan.
• Eligible for various benefits.

Location and Compensation

• San Francisco, CA (onsite)
• Base salary range: USD 267,000 - 297,000 per year

Work Arrangement

• Unless approved for full remote work, employees must spend at least 50% of their time in-office.
• Some roles (such as greenlight hubs) require full-time in-office; ask your Recruiter for details for this role.

For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award and other types of compensation; all full-time employees are eligible to participate in a 401(k) plan and for various benefits.