Product Optimization Developer Jobs

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Today

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

Uber’s Consumer Incentives team builds AI-powered optimizations and distributed systems that shape consumer experiences across verticals including grocery and food. In this Sr Machine Learning Engineer role, you will work on end-to-end machine learning product lifecycle development, moving from early scoping and offline evaluation to production deployment and ongoing post-launch maintenance.

Role focus

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

What you 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 ownership mindset to drive projects end-to-end.

Technologies

Python
Go
Java

Preferred qualifications

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

Compensation and location

This role is based in New York, NY (onsite). The base salary range is USD $202,000 - $224,000 per year.

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).
All full-time employees are eligible to participate in a 401(k) plan.
Eligibility for various benefits.

Office 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.
Ask your Recruiter for details about this role’s requirements.

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