About the role and team
Engineering at Uber means building for real-world impact under real-world constraints. As a Software Engineer II (MLE), you will architect innovative products and scalable systems that keep the marketplace efficient, reliable, and ready for continued growth. Our systems power hundreds of millions of consumers and millions of merchants around the world, and that footprint is expanding rapidly. You will be solving complex challenges at the intersection of low latency, high correctness, and massive scale.
The problems here are messy and the systems are global. You’ll need to make smart decisions with imperfect information, own your work end-to-end, and stay calm when high-load systems are on the line. We are looking for engineers who think in systems, pride themselves on robust monitoring, and believe that the best solutions are built through candid feedback and cross-functional collaboration. If you’re energized by challenges and motivated to move the real world - this is where you’ll grow.
What you’ll do
Design, develop, and maintain high-quality code for features of moderate complexity and projects with multiple dependencies.
Develop and optimize ML models to enhance the efficiency of the delivery marketplace
Build and scale foundational infrastructure and data pipelines, balancing technical debt and shifting priorities while keeping long-term impact in mind.
Own the software lifecycle end-to-end, from drafting design docs to debugging production issues and managing incidents independently.
Collaborate across disciplines - including Product, Data Science, and Ops - to translate ambiguous requirements into simple, elegant system designs.
Champion engineering best practices by providing quality code reviews, creating comprehensive tests, and improving system performance.
Navigate internal complexity and stakeholder inquiries to unblock dependencies and ensure the reliability of our production environment.
Basic Qualifications
3+ years of professional software engineering experience in backend development, distributed systems, or data engineering.
Proficiency in one or more object-oriented or functional programming languages (e.g., Go, Java, Python, or C++).
Experience in applying machine learning, statistics, or optimization techniques to solve large-scale problems.
Experience with data modeling, query optimization, and translating customer problems into system design.
Bachelor’s Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field.
Experience writing tests to verify functionality and establishing monitoring systems to ensure code stability.
Preferred Qualifications
Experience identifying and reducing code-level technical debt in high-load distributed systems.
Background in mentoring new team members and contributing to engineering culture.
Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods.
Demonstrated ability to exercise sound judgment on engineering trade-offs for complex features.
For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 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
- 3+ years of professional software engineering experience in backend development, distributed systems, or data engineering
- Proficiency in one or more object-oriented or functional programming languages, such as Go, Java, Python, or C++
- Experience applying machine learning, statistics, or optimization techniques to large-scale problems
- Experience with data modeling and query optimization
- Experience translating customer problems into system design
- Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related technical field
- Experience writing tests and establishing monitoring systems to ensure code stability
- Experience identifying and reducing code-level technical debt in high-load distributed systems
- Experience mentoring new team members and contributing to engineering culture
- Experience designing scalable, reliable, maintainable, and reusable ML solutions using deep-learning techniques and statistical methods
- Demonstrated ability to exercise sound judgment on engineering trade-offs for complex features
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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