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Uber
Software Engineer II, Ads
1 week ago• Toronto, Canada
Viewed on February 1, 2026
Apply on company site
About Us
Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.
- Size: 10000+ employees
- Industry: Technology
View Company Profile:
About the Role:
Uber Advertising is building a new generation of display & video ads that help brands grow on Uber's marketplace, and this role sits at the core of that effort.
The Ads team at Uber is dedicated to creating world class advertising systems that strike the right balance between advertiser performance and exceptional shopper experience. We own the critical ad supply and serving layers across Uber's global marketplace. Our mission is to scale Uber's ad footprint by optimizing & expanding supply for existing formats and building the next generation of engaging ad experiences.
Our team is looking for a highly motivated software engineer to contribute to this mission. Your contributions will directly impact a rapidly growing business unit reaching millions of customers worldwide.
What You'll Do:
- Own the end-to-end development of features and projects for ad formats within the Uber marketplace, such as Sponsored Listings, Sponsored Items, Storefront Ads, Billboards, Post-Checkout, etc. This includes design, implementation, testing, and deployment, and monitoring.
- Design and build robust, scalable, and high-performance components for ad insertion and user experience flows.
- Collaborate closely with Product Managers and Data Scientists to translate product requirements and analytical insights into technical designs and solutions.
- Conduct thorough code reviews, providing constructive feedback and ensuring adherence to engineering best practices.
- Contribute to the team's on-call rotation and proactively identify areas for system improvement, reliability, and technical debt reduction.
- Mentor junior engineers on technical best practices, system understanding, and project execution.
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By signing up, you agree to our Basic Qualifications
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 1-year full-time Software Engineering work experience, WHICH INCLUDES 1-year total technical software engineering experience in one or more of the following areas: Programming language (e.g. C, C++, Java, Python, or Go)
Preferred Qualifications:
- Supported and mentored peers or junior team members, and enjoy fostering a collaborative, inclusive team culture.
- Knowledge of the ad tech landscape, programmatic advertising, and digital marketing trends.
- Familiar with A/B testing and experimentation.
- Experience collaborating with cross-functional teams including sales, ad operations, product, data science, and engineering to drive continuous improvement and innovation in ad capabilities.
- Excellent communication, negotiation, and relationship-building skills.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
- Experience building and integrating with ad technologies. In-depth understanding of programmatic advertising.
- Experience in leveraging data and ML-driven insights to maximize outcomes.
- Working knowledge of ML/AI/GenAI techniques and an ability to apply them to Engineering and product processes such as ad insertion, targeting, or quality.
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**$144,000 per year**
- CAD**$160,000 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://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 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.
Client-provided location(s): Toronto, Canada Job ID: Uber-152750Employment Type: FULL_TIMEPosted: 2026-01-23T20:00:50Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
Apply on company site
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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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