About the Role
The Maps Optimization team builds and maintains the foundational stack powering the full user journey on the Uber map, including location search, ETA calculation and routing. Our technology leverages advanced machine learning models and high-throughput scalable infrastructure capable of serving millions of QPS. The work of the team influences Uber’s core business performance in a meaningful way and is highly visible to the executive leadership team.
We are looking for a highly motivated, entrepreneurial machine learning engineer to join the Maps Optimization team. As a senior machine learning engineer, you will design, build, and optimize large-scale ML systems and models to improve efficiency and travel experience across millions of daily trips worldwide.
Basic Qualifications
- 5+ years of experience in the domain of machine learning, or 2+ years if you have a PhD
- 2+ years of experience in one or more of the following areas: machine learning, artificial intelligence, optimization, signal processing, operational research, or related technical fields
- Experience developing, debugging, and scaling distributed data processing and ML pipelines (e.g., Apache Spark, Hive, Presto, Michelangelo)
- Knowledge of development and debugging in Java, Scala, or Golang, and experience with scripting languages such as Python and/or shell scripts
- Experience in technical leadership, working with teams, owning projects, defining and setting technical direction for projects
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- Experience architecting large scale, production software applications
- Experience productionizing applied machine learning solutions (e.g., graph/graphless prediction, learning to rank) toward solving complex ML challenges
- Masters degree or PhD in Computer Science or a related technical field
What the You Will Do
- Develop and deploy end-to-end machine learning models and infrastructure to optimize Uber map related applications
- Design and maintain high-throughput, low-latency prediction systems and APIs handling hundreds of billions of daily requests
- Explore novel ideas towards improving Uber's logistical efficiency across its product verticals
- Partner with product managers, scientists, designers, and engineers to develop holistic solutions to real world problems
You might thrive in this position if you:
- Have extensive prior experience building and maintaining production machine learning systems
- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
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.
For Sunnyvale, CA-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.
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 experience in machine learning, or 2+ years with a PhD
- 2+ years of experience in machine learning, artificial intelligence, optimization, signal processing, operational research, or related technical fields
- Experience developing, debugging, and scaling distributed data processing and machine learning pipelines
- Knowledge of development and debugging in Java, Scala, or Golang
- Experience with scripting languages such as Python and/or shell scripts
- Experience in technical leadership, owning projects, and defining technical direction
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
- Experience architecting large-scale production software applications
- Experience productionizing applied machine learning solutions
- Master's degree or PhD in Computer Science or a related technical field
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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