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About the Role
This role is part of Uber's ML Serving team within the AI Platform, responsible for building and operating large-scale, low-latency systems for real-time ML and generative AI inference. As a Senior Software Engineer, you will lead the design and ownership of critical serving services and frameworks that power ML workloads across Uber. Your work will directly influence platform reliability, scalability, and developer experience for ML engineers company-wide.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Design, build, and own scalable ML serving services and infrastructure components
- Drive technical design decisions and lead implementation of complex systems
- Partner with ML engineers and platform teams to productionize ML and generative AI models
- Improve system reliability, performance, and operational excellence through automation and tooling
- Mentor junior engineers and contribute to team-wide engineering best practices
---- Basic Qualifications ----
- BS or MS in Computer Science or a related technical discipline, or equivalent experience
- 5+ years of full-time engineering experience
- Significant experience building production-grade backend or distributed systems using Java, Go, Python, or C++
- Proven ability to design, ship, and operate scalable services end to end
- Strong foundation in system design, data structures, and algorithms
---- Preferred Qualifications ----
- Hands-on experience with ML serving, inference pipelines, or real-time ML systems in production
- Experience designing high-throughput, low-latency distributed systems
- Familiarity with ML frameworks and model lifecycle concepts such as deployment, versioning, and monitoring
- Demonstrated ownership, mentoring, and collaboration across teams
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For Seattle, WA-based roles: The base salary range for this role is USD**$202,000 per year**
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USD**$224,000 per year**.
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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. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
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.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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