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Uber · San Francisco, CA

# Sr Machine Learning Engineer

San Francisco, CA, United States Full-time Senior individual contributor $202,000 per year Data & Analytics 

Listed on Uber’s official careers site. Posted October 9, 2026. Check that it is still open and apply there.
[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/302444)

[OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Sr Machine Learning Engineer

## Job description

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.

### Basic Qualifications

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.

### Preferred Qualifications

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.

## At a glance
- Posted by the employer: Oct 9, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 10 days
- Location: San Francisco, CA, United States
- Employment type: Full-time
- Pay: $202,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/302444)

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