Incentives

Incentives Engineer Jobs

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Today

Sr Staff Machine Learning Engineer- Consumer Incentives

Uber San Francisco, CA

San Francisco, CA

Today

$267k - $297k/yr Full time Ai Ml Artificial Intelligence Data Processing

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Job Description

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.

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1mo ago

Sr Machine Learning Engineer - Consumer Incentives

Uber New York, NY

New York, NY

1mo ago Closed

$202k - $224k/yr Full time Artificial Intelligence Data Science Data Science Ml

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

The Sr Machine Learning Engineer role on Uber’s Consumer Incentives team focuses on AI-powered optimizations and scalable distributed systems that enhance consumer experiences across verticals such as grocery and food. The position supports end-to-end machine learning work, from scoping and offline evaluation through production deployment and post-launch maintenance.

Key Responsibilities

Architect and launch products that drive key consumer experience and business outcomes.
Own full project lifecycles, including initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
Design, tune, and continuously improve systems and algorithms to perform reliably at scale.
Collaborate with cross-functional partners across product management, operations, and data science.

Required Qualifications

Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics, or a related field, plus 4+ years of full-time engineering experience.
Proficiency in at least one programming language, such as Python, Go, or Java.
Experience building and productionizing end-to-end machine learning systems.
Strong communication skills and the ability to work effectively with cross-functional partners.
Demonstrated ownership mindset to drive projects end-to-end.

Technologies

Python
Go
Java

Preferred Qualifications

Track record of designing and delivering large-scale consumer products.
Leadership experience, including mentoring and guiding junior engineers.
Experience with experimental design and causal inference.

Compensation

Salary range: USD 202,000 - 224,000 per year.

Location: New York, NY (onsite).

Benefits

Eligibility to participate in Uber’s bonus program (for all US locations).
May be offered an equity award and other types of compensation (for all US locations).
401(k) plan eligibility for all full-time employees.
Eligibility for various additional benefits.

Work Location Expectations

Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, such as those at greenlight hubs, require full-time in-office presence. For details specific to this role, ask your Recruiter.

Education

Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field.

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Incentives Engineer Jobs

Sr Staff Machine Learning Engineer- Consumer Incentives

Sr Machine Learning Engineer - Consumer Incentives

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