招聘
About the Role
The Search Growth team is responsible for building new features and experiences that take further what Search at Uber can do- enabling users to discover new experiences and offerings within the Uber app through intelligent suggestions and engaging journeys.. As a Sr Software Engineer on the Search Growth team, you will play a key role in delivering new and exciting features that will enrich the Search experience for our customers while furthering the impact of our businesses.
This is an exciting & impactful role with visibility and influence across all of Uber's businesses. The work you do will power experiences for Riders, Drivers, Couriers, and Eaters around the world. You'll collaborate with multiple mobile and backend teams to ensure our Search offers an experience that is intuitive, performant and magical.
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What the Candidate Will Do
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Own: Lead the development of robust features to drive top of the line growth on our search stack. Own the solution from initial design to production deployment and monitoring.
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Influence: Contribute to the technical roadmap of the search ecosystem, ensuring our architecture remains flexible enough to support new features that scales search across multiple lines of businesses such as rides, eats, ads etc
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Lead: Mentor and guide peers & junior engineers, providing constructive technical leadership + encouraging a collaborative and growth-oriented team environment.
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Elevate: Conduct thorough design & code reviews ensuring high quality and elevating standards.
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Basic Qualifications
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Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent practical experience.
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5+ years of experience in backend development using modern programming languages, such as Go or Java.
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Familiar with A/B testing and experimentation.
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Demonstrated experience in setting the technical directions for projects, making architectural decisions and influencing cross-functional teams.
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Experience collaborating with cross-functional teams including ad operations, product, data science, and engineering to drive improvement and innovation in ad capabilities.
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Excellent communication, negotiation, and relationship-building skills.
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Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Preferred Qualifications:
- Experience supporting and mentoring other engineers, while fostering a collaborative, inclusive team culture.
- Knowledge of the search landscape, retrieval & ranking, search indices
- Familiarity with data and ML methodologies necessary to drive personalization and recommendations
- Demonstrated leadership in driving cross-team technical initiatives
For Canada-based roles: Uber may use artificial intelligence (AI) tools to support parts of our recruiting process; however, Uber employees make the ultimate selection and hiring decisions. This advertisement relates to a current, existing vacancy.
- For Canada-based roles: The base salary range for this role is CAD**$173,000 per year**
- CAD**$192,000 per year**.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. 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 fuelds progress. What moves us, moves the world - let's move it forward, together.
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.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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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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