Sr Machine Learning Engineer- Maps Optimization

Uber; United States; Hybrid; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k)

Job summary

Uber is seeking a senior machine learning engineer for the Maps Optimization team. You will design, build, and optimize large-scale ML systems powering Uber’s maps, routes, and ETA calculations across millions of trips worldwide.

You will own end-to-end models and infrastructure, deploy high-throughput prediction services, and collaborate with product, data science, and engineering teams to deliver robust, scalable solutions.

Qualifications

• 5+ years in ML or 2+ years with PhD
• Experience building and scaling distributed ML pipelines
• Experience with Spark, Hive, Presto, Michelangelo
• Proficiency in Java/Scala/Golang and Python/shell
• Experience leading projects and teams
• Bachelor's degree or equivalent

Responsibilities

• Develop and deploy end-to-end ML 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

Skills

ML model development

Distributed systems

Big data tooling

Java/Scala/Golang

Python scripting

Leadership

Education

Bachelor's degree in CS/CE or related

Master's or PhD preferred

Tools

Apache Spark

Hive

Presto

Michelangelo

Job description

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

Ready 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.

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.