채용
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Parental leave
•Generous paid time off and holidays
•Professional development budget
•Equity
•Healthcare
•Parental Leave
•Learning
Required Skills
TypeScript
JavaScript
PostgreSQL
About the Role
As an engineer in the Ads Bidding and Pacing team, you will focus on developing & optimizing Auto Bidding and Budget Pacing systems.
What You'll Do
- Design, implementation, and maintenance of high-performance bidding and pacing systems.
- Ensure these systems meet or exceed campaign performance goals, advertiser expectations, and system reliability standards.
- Partner with Product Managers, Data Scientists, and other engineering teams to deliver a bid-based budget pacing system that ensures daily/weekly budget delivery.
- Maximize Conversions, which leverages real-time bidding to meet key advertiser goals.
Basic Qualifications
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field
- 3 years of Software Engineering work experience
- Strong command of a backend stack (eg. Golang, Java, Node.js, Python, etc)
Preferred Qualifications
-
Industry experience working on distributed systems: developing reliable, high performance, highly scalable and low latency software
-
Demonstrated examples of delivering production-level features from inception,
-
Platform / Backend experience is required
-
Demonstrable knowledge of the principles of fault-tolerance, reliability and durability.
-
Any Ad Tech experience especially in Ads Marketplace /Auction Bidding/Pacing would be very useful.
-
For New York, NY-based roles: The base salary range for this role is USD**$171,000 per year**
-
USD**$190,000 per year**.
-
For Sunnyvale, CA-based roles: The base salary range for this role is USD**$171,000 per year**
-
USD**$190,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/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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