About the Role
Are you passionate about building platforms and product experiences that enable millions of people around the world to thrive? Join the Earner Engineering organization, where we build user-facing experiences and the foundational systems that power the earner journey from the moment someone signs up to their 10,000th trip.
Our mission is to build trust, ensure safety, and drive efficient growth. You will develop a compassionate understanding of earners' needs alongside an analytical mindset to navigate complex marketplace and pricing dynamics. By joining one of our highly cross-functional teams, you will solve high-stakes problems at the intersection of user experience, regulatory compliance, machine learning, and global scale.
About the Team
Within our organization, you will have the opportunity to contribute to several key domains. We have multiple teams hiring, and we will match you to the best-fit team during the interview process.
Offer Experience: The Offer Experience team builds the high-scale distributed systems that generate and personalize earning opportunities for millions of users globally. We develop the backend platforms responsible for delivering real-time trips, incentives, and promotions tailored to earner preferences and marketplace conditions. Working at the intersection of Data Science and Marketplace teams, we focus on creating reliable infrastructure that improves transparency and drives product innovation.
Earner screenings: The Earner Screenings team builds the
engineering systems and workflows that power Uber's
background check systems globally for any earner onboarding
to the platform.
Earner Onboarding: We build the platform and funnel
experiences that enable new earners to seamlessly join the
Uber ecosystem. Our work reduces friction across complex
registration flows, adapts to local regulatory requirements,
and supports access to multiple earning opportunities.
Earner Intelligence: We build ML-driven solutions to craft
personalized experiences across the entire earner lifecycle
from acquisition to long-term retention. Our systems employ
sophisticated techniques like Causal ML, Multi-armed
Bandits, GenAI/LLMs and Deep Learning embeddings to
drive efficient business growth and optimize every touchpoint
with our earners.
Vehicle: We own platforms that power all of Uber’s businesses across Mobility, Delivery, and Autonomous. Our platform sits at the center of connected vehicles, autonomous vehicles, moto, and delivery fleets.
Earner Access Enforcement: The Earner Access Enforcement team builds the core engine that evaluates eligibility and compliance for every Uber trip worldwide. We design high-scale, centralized systems to enforce safety requirements across all global jurisdictions and business verticals. As one of Uber's most cross-functional teams, we solve complex, "trip-scale" problems that directly impact how millions of earners interact with the platform.
Earner Loyalty & Rewards: Join the team building global rewards platforms designed to help Uber earners reach their goals. We combine empathy for earner needs with deep analytical insights into marketplace and pricing dynamics to create inspiring, rewarding experiences. Help us build the tools that empower millions of earners to thrive!
What You Will Do
- Design & Scale: Own the design, development, and operation of backend services (primarily Golang and Java) that support millions of users globally.
- Technical Leadership: Transform high-level business problems into elegant, maintainable, and well-documented technical solutions.
- Cross-Functional Collaboration: Partner with Data Science, Design, and Product to ship features, evaluate impact using data, and iterate based on results.
- System Integrity: Drive ongoing efficiency, reliability, and monitoring (alerting/on-call) to ensure our products remain "always-on."
- Mentorship: Lead and mentor fellow engineers, fostering a culture of continuous improvement and engineering excellence.
Basic Qualifications
- Experience: 2+ years of professional backend software engineering experience building and operating production systems at scale.
- Technical Stack: Proficiency in at least one general-purpose language (e.g., Go, Java, C++, Python, or C#).
- Systems Design: Hands-on experience with large-scale distributed systems, high-throughput/low-latency architectures, and service-to-service communication.
- Ownership: A strong sense of engineering ownership, including a high bar for code quality and proactive technical debt management.
Preferred Qualifications
- Education: BS/MS/PhD in Computer Science or a related technical field.
- Architecture: Experience with microservices, event-driven architectures, and building flexible, configurable "rules engines."
- Specialized Skills: Experience with ML/AI implementation, Data Engineering, or handling Personally Identifiable Information (PII).
- Analytical Mindset: Demonstrated ability to make sound engineering/business tradeoffs and identify opportunities for operational efficiency.
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 Sunnyvale, CA-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. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
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.
Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.