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Senior Staff Engineer - Operations Research
New York, NY; San Francisco, CA; Sunnyvale, CA
·
On-site
·
Full-time
·
1mo ago
Compensation
$267,000 - $267,000
Benefits & Perks
•Flexible work
•Competitive salary and bonus
•Stock options
•Parental leave
•Health benefits
•Collaborative environment
•Equity
•Parental Leave
•Healthcare
Required Skills
Python
Salesforce
SAP
About the Role
The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session.
Surge plays a critical role in service of Uber's mission to make transport accessible. We generate billions of dollars in annual gross bookings for the company by optimizing network efficiency and make a significant contribution to driver earnings. What we do has an outsized impact on our riders because prices and reliability are two of the most important elements of customer experience.
What You Will Do:
- You will work with a mixed team of Engineers, Operations Researchers, and Economists.
- You will build new scalable algorithms for real-time pricing of Ubers products across hundreds of global marketplaces.
- You will help set the team's technical direction and roadmap.
- You will communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers.
Basic Qualifications:
- PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling.
- 6+ years of industry experience developing algorithms and models for large-scale deployment.
- Experience with optimization packages such as Gurobi, CPLEX, and OR Tools.
- Experience with two-sided marketplace design, pricing optimization, matching/allocation, etc...
- Strong communication skills and ability to work effectively with cross-functional partners.
- Proficiency in one or more coding languages such as Python, Java, Go, or C++.
Preferred Qualifications:
-
Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference
-
Experience with real-time optimization systems (optimization under tight time constraints)
-
Experience mentoring and growing junior engineers
-
Experience with creating and defining technical direction and roadmaps
-
Experience in 0 to 1 projects from idea/inception through to launch
-
For New York, NY-based roles: The base salary range for this role is USD**$267,000 per year**
-
USD**$297,000 per year**.
-
For San Francisco, CA-based roles: The base salary range for this role is USD**$267,000 per year**
-
USD**$297,000 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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