Sr Staff Machine Learning Engineer- Consumer Incentives

Uber’s Consumer Incentives team is seeking a Senior Staff Machine Learning Engineer to shape the long-term machine learning strategy and lead hands-on technical execution. This onsite role in San Francisco focuses on personalization, optimization, experimentation, and scalable machine learning systems that translate into measurable business impact.

Role Responsibilities

• Define the long-term ML vision, architecture, and technical roadmap for Consumer Incentives, aligning investments with consumer needs and business priorities.
• Convert ambiguous problems into actionable strategies, driving end-to-end execution from problem formulation and offline evaluation through experimentation, production deployment, and ongoing improvements.
• Design models and algorithms to improve incentive relevance, estimate incremental impact, and optimize decisions within business and operational constraints.
• Guide and contribute directly to end-to-end ML system design and implementation across data and feature pipelines, model training, inference, and monitoring, with a focus on reliability, scalability, and maintainability.
• Develop strong approaches to model evaluation, experimental design, and causal measurement, balancing short-term gains with long-term consumer value and sustainable growth.
• Assess where reinforcement learning, foundation models, and generative AI can improve product outcomes, and lead promising approaches from exploration through production.
• Partner with product management, data science, operations, and engineering leaders to prioritize opportunities, make technical tradeoffs, and deliver shared outcomes.
• Mentor engineers and technical leaders, elevate the quality of technical decision-making, and build reusable capabilities to accelerate work across teams.

Required Qualifications

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

Preferred Qualifications

• Track record of successfully launching multi-year, multi-organization ML initiatives that delivered step-change business outcomes.
• Experience championing and driving adoption of multi-year technical roadmaps across multiple large engineering organizations.
• Demonstrated impact on engineering standards through mentorship and technical leadership, including the establishment of org-wide best practices.

About the Role and Team

Operating across key business areas like grocery and food, the Consumer Incentives team supports Uber’s growth and long-term profitability. The team delivers products that help create seamless, affordable, and enjoyable customer experiences through AI/ML-powered intelligence and sophisticated distributed systems at scale for hundreds of millions of global users.

Compensation and Eligibility

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

Work Location Expectations

Offices remain key to collaboration and Uber’s culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles (for example, those at greenlight hubs) require full-time in-office presence. Ask your Recruiter for details about this role’s requirements.