Sr Machine Learning Engineer - Consumer Incentives

Uber; Seattle (WA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber is seeking a senior engineer to build products powered by scalable distributed systems and AI solutions. You will optimize user experiences across grocery and food verticals while driving sustainable business growth. You will own architectures, guide end-to-end lifecycles, and collaborate with product, operations, and data science teams.

The role emphasizes designing high-scale ML systems, strong ownership, and cross-functional collaboration, with in-office requirements at many US locations.

Qualifications

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

Responsibilities

• Architecting and launching products to power key consumer experience and business outcomes.
• Overseeing full project lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
• Designing, tuning, and enhancing systems and algorithms to operate at scale.
• Partnering with cross-functional stakeholders across product management, operations, and data science

Skills

Communication

Ownership

Cross-functional collaboration

Mentoring

Education

Bachelor’s degree in CS/Engineering/Math or related field

Tools

Python

Go

Java

Job description

About the role and team

Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We build products that power seamless, affordable, and enjoyable customer experiences by building sophisticated distributed systems and AI-powered optimizations to scale products for hundreds of millions of global users.

What you’ll do

In this role, you will build products powered by scalable distributed systems and advanced AI solutions. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:

• Architecting and launching products to power key consumer experience and business outcomes.
• Overseeing full project lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
• Designing, tuning, and enhancing systems and algorithms to operate at scale.
• Partnering with cross-functional stakeholders across product management, operations, and data science.

Basic Qualifications

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

Preferred Qualifications

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

For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

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, like those at greenlight hubs, require full-time in-office presence.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.