Sr Machine Learning Engineer

Uber
San Francisco, CA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$202,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Big Data Software Debugging Distributed Systems Python (Programming Language) Machine Learning Software Engineering Information Technology Optimization Algorithms Apache Flink Apache Kafka Marketplace
+3 more
Stream Processing Golang Programming Languages

Job description

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

  1. 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.
  2. Own the software lifecycle end-to-end: from design docs through production rollout, debugging live issues, and managing incidents.
  3. Collaborate across disciplines - Product, Applied Science, and Ops - to translate ambiguous marketplace problems into robust system designs.

Requirements

  1. 5+ years of professional software engineering experience in ML, statistics, or optimization techniques, distributed systems, or large-scale data processing.
  2. Proficiency in one or more programming languages (e.g., Go, Java, Python).
  3. Experience designing and operating high-throughput, low-latency services, and translating customer or business problems into system design.
  4. Bachelor’s Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field., 1. Experience with marketplace, pricing, dispatch, forecasting, or other real-time decision systems.
  5. Familiarity with real-time data streaming (e.g., Kafka, Flink) or time-series forecasting pipelines.
  6. Demonstrated ability to exercise sound judgment on engineering trade-offs where algorithm behavior has direct business impact.

Benefits & conditions

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.

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. (https://jobs.uber.com/en/benefits/)

Apply for this position

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