Sr Machine Learning Engineer - Consumer Incentives

Uber’s Consumer Incentives team is building AI-powered optimizations that aim to improve consumer experiences across verticals such as grocery and food. In this Senior Machine Learning Engineer role, you will work across the full machine learning product lifecycle, from scoping and offline evaluation to production deployment and post-launch maintenance.

This position is based in New York, NY (onsite) and supports end-to-end development of scalable, distributed systems and algorithms designed to perform at scale.

What you’ll do

• 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 enhance systems and algorithms to operate at scale.
• Collaborate with cross-functional partners across product management, operations, and data science.

What you’ll bring

• 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.
• A strong sense of ownership to drive projects end-to-end.

Technologies

• Python
• Go
• Java

Preferred qualifications

• Track record of designing and delivering large-scale consumer products.
• Demonstrated leadership skills, including mentoring and guiding junior engineers.
• Proven experience in experimental design and causal inference.

Compensation and eligibility

The salary range for this New York, NY location is USD 202,000 - 224,000 per year.

Benefits

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

Onsite 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 may require full-time in-office presence, such as those at greenlight hubs. Ask your Recruiter for details about this role’s requirements.