About the Role and Team
Engineering at Uber means building for real-world impact under real-world constraints. As a L5 MLE on the Pricing & Incentives team team, you will build innovative products and scalable systems that power our global marketplace. Our systems produce real-time decision signals and sophisticated algorithms that other critical systems depend on every second. The problems here are complex, the systems are massive, and the stakes are immediate.
What you'll do- Requires advanced ML expertise to design machine learning models to jointly optimize demand levers (TDF, TSF, HVAs, EUP). This role is necessary to improve marketplace efficiency by modeling the coordination across pricing and incentive levers.
- Own the software lifecycle end-to-end: from design docs through production rollout, debugging live issues, and managing incidents.
- Collaborate across disciplines — Product, Applied Science, and Ops — to translate ambiguous marketplace problems into robust system designs.
- 5+ years of professional software engineering experience in ML, statistics, or optimization techniques, distributed systems, or large-scale data processing.
- Proficiency in one or more programming languages (e.g., Go, Java, Python).
- Experience designing and operating high-throughput, low-latency services, and translating customer or business problems into system design.
- Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field.
- Experience with marketplace, pricing, dispatch, forecasting, or other real-time decision systems.
- Familiarity with real-time data streaming (e.g., Kafka, Flink) or time-series forecasting pipelines.
- Demonstrated ability to exercise sound judgment on engineering trade-offs where algorithm behavior has direct business impact.
Responsibilities
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
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.
Skills Required
- 5+ years of professional experience in software engineering, data engineering, and applying machine learning, statistics, or optimization techniques to large-scale problems.
- Expertise writing high-quality code for strategically important, cross-organizational problems.
- Advanced proficiency in SQL and data warehousing.
- Experience leading organization-wide engineering projects through inception, stakeholder engagement, implementation, and operations.
- Experience overseeing incident management processes and directing on-call rotations.
- Ability to make sound engineering and business tradeoffs with long-term implications in mind.
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
- Experience building high-performance, scalable distributed systems at a 100M+ user scale.
- Experience designing scalable, reliable, maintainable, reusable machine learning solutions using deep learning and statistical methods.
- Expertise with real-time streaming frameworks such as Flink or Spark and OLAP systems such as Apache Pinot or Druid.
- Experience with Big Data and Hadoop ecosystem tools for complex data orchestration.
- Experience representing the organization to broader internal and external technical communities.
- Ability to gain alignment and buy-in for large-scale technology transformations across multiple job functions.
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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