Product Optimization Engineer Jobs

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Sr Machine Learning Engineer - Consumer Incentives

Uber New York, NY

New York, NY

Today

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

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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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