Jobs
About the Role
This is an exciting opportunity to work at the one of the largest Data stacks in the industry with over 1 Exa-Bytes of data in Uber's Data Lake. Uber Data Storage team serves Batch Analytics, Streaming Processing as well as AI/ML workload. The team is building several new solutions to catch up with growing needs in performance, scale and efficiency.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Learn the internals of big data infrastructure at Uber scale.
- Deep dive into specific technologies, understanding related source code and configuration. Fine-tune these systems to improve overall performance and reliability
- Find and build solutions to innovate the Cloud usage, striking the balance of performance and efficiency
- Leverage Uber's Agents platform to build solution to better serve customers
- Work independently or as a team player with other team members to solve complex technical problems.
- Evaluate pros and cons of different solutions and make decisions based on various situations accordingly.
---- Basic Qualifications ----
- Bachelor's degree in Computer Science or related field.
- 5+ years of industry engineering experience.
- Strong engineering skills, including reading open source code, implementing solutions and performance tuning.
- Bias for action. Execute fast.
- Experience in distributed systems or machine learning systems, programming languages such as Python, Rust, Go and Java
---- Preferred Qualifications ----
-
MS / PhD in Computer Science or related field.
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Experience with AI/ML or big data frameworks (e.g. Pytorch, Ray, Iceberg, Lance, Gravitino, Polaris)
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Experience developing with solutions leveraging Cloud Object Store like S3/GCS/Azure/OCI.
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Experience developing with supporting business critical systems with 99.9+ availability
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Experience with modern large scale of AI infrastructure
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For Seattle, WA-based roles: The base salary range for this role is USD**$202,000 per year**
-
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

Uber
PublicUber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10,001+
Employees
San Francisco
Headquarters
$120B
Valuation
Reviews
3.7
10 reviews
Work-life balance
3.2
Compensation
4.0
Culture
4.1
Career
3.4
Management
2.8
68%
Recommend to a friend
Pros
Good compensation and pay
Flexible hours and schedule
Great team culture and colleagues
Cons
Long hours and tight deadlines
High pressure and stressful environment
Poor management and lack of support
Salary Ranges
15,354 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total per 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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