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 deliver products that create seamless, affordable, and enjoyable customer experiences by building AI/ML-powered intelligence and sophisticated distributed systems at scale for hundreds of millions of global users.
What you’ll do
In this role, you will build products powered by advanced AI/ML solutions and scalable distributed systems. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:
- Launching products to power key consumer experience and business outcomes.
- Driving projects across full 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
- 3+ years of experience delivering production software solutions, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.)
- Proficiency in at least one programming language such as Python, Go, or Java
- Strong communication skills and ability to work effectively with cross-functional partners
- Strong sense of ownership to drive projects end-to-end
Preferred Qualifications
- Experience in designing and delivering large-scale consumer products
- Experience in building scalable distributed systems
- Experience in data analytics and experimental design
For New York City, NY-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 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.
About UsReady to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
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. Ask your Recruiter for details about this role's requirements.
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.
Uber New York, New York, USA Office
Uber's a hybrid work environment and employees target spending 50% of their time in the office.
Uber New York, New York, USA Office
New York, United States
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
