Overview
On Site
USD 198,000.00 - 220,000.00 per year
Full Time
Skills
Cost Reduction
Scheduling
Real-time
Routing
Pricing
Professional Development
Communication
Writing
Java
C++
Mentorship
Computer Science
Product Management
Data Science
Analytical Skill
Conflict Resolution
Problem Solving
Software Engineering
Optimization
Machine Learning (ML)
Algorithms
Law
Legal
Collaboration
Job Details
About the Role
The Shared Rides team's mission is to provide a rideshare service at a substantially lower price point to a taxi or UberX via sharing the cost of the driver among multiple riders. We are developing a product which can achieve this lower cost while providing riders with a predictable and defect-free experience and also generating sustainable earnings for Drivers and unlocking the next frontier of growth for Uber
This team delivers all aspects of shared rides, from the experiences shown to riders and drivers, the matching algorithms to make efficient sharing, and pricing to predict where we will be able to generate the greatest cost savings and convert the most riders. We work to identify the right trade offs between timeliness and costs, and build experiences to surface these trade offs. Walking, waiting, scheduling and routing all provide opportunities for us to drive efficiencies to continuously push prices lower for our customers. We push this to extremes with our shuttle products allowing for highly efficient trips
This is a great opportunity to build out new tech for this growing business. The team addresses large-scale variations of the traveling salesperson problem in real-time. At any given time, we have tens of thousands of sharing requests and drivers looking for work in a city. Our jobs are to write software that identifies who is the best driver to complete a given request, how to batch trips together that have similar routes, and when is the best time to make the dispatch. As you could imagine, solving this NP-hard problem creates many fascinating problems around how to search the problem space, how to rapidly reach a near-optimal solution, and how to scale this process to operate within seconds.
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Deliver and operate performant and reliable distributed systems consumed by multiple teams and clients
2. Build delightful customer experiences and run user facing A/B tests to understand rider and driver tradeoffs
3. Solve NP-hard matching and routing problems and build rider and driver pricing models
4. Interact cross-functionally with engineering, product and operations teams and stakeholders
5. Mentor junior members of the team in engineering craftsmanship and professional development
\\-\\-\\-\\- Basic Qualifications ----
1. Strong technical delivery, with 5+ years of experience experience building highly scalable software
2. Excellent written and verbal communication skills; experience writing detailed technical documents.
3. Experience with Java, Go or C++.
4. Passionate about helping teams grow by inspiring and mentoring engineers.
\\-\\-\\-\\- Preferred Qualifications ----
1. Bachelor's or advanced degree in Computer Science or a related field
2. Experience working cross-functionally with Product Management, Data Science, and Business partners
3. Experience working on Marketplace problems. Strong analytical and problem-solving skills
4. Experience building software engineering solutions for prediction and optimization problems
5. Experience designing reinforcement learning or other advanced ML algorithms.
6. Passionate about consumer experiences, with a track record of building successful consumer features
7. Ownership, taking a personal stake in the success of the product and the team
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 [](;br>
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](;br>
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.
The Shared Rides team's mission is to provide a rideshare service at a substantially lower price point to a taxi or UberX via sharing the cost of the driver among multiple riders. We are developing a product which can achieve this lower cost while providing riders with a predictable and defect-free experience and also generating sustainable earnings for Drivers and unlocking the next frontier of growth for Uber
This team delivers all aspects of shared rides, from the experiences shown to riders and drivers, the matching algorithms to make efficient sharing, and pricing to predict where we will be able to generate the greatest cost savings and convert the most riders. We work to identify the right trade offs between timeliness and costs, and build experiences to surface these trade offs. Walking, waiting, scheduling and routing all provide opportunities for us to drive efficiencies to continuously push prices lower for our customers. We push this to extremes with our shuttle products allowing for highly efficient trips
This is a great opportunity to build out new tech for this growing business. The team addresses large-scale variations of the traveling salesperson problem in real-time. At any given time, we have tens of thousands of sharing requests and drivers looking for work in a city. Our jobs are to write software that identifies who is the best driver to complete a given request, how to batch trips together that have similar routes, and when is the best time to make the dispatch. As you could imagine, solving this NP-hard problem creates many fascinating problems around how to search the problem space, how to rapidly reach a near-optimal solution, and how to scale this process to operate within seconds.
What the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Deliver and operate performant and reliable distributed systems consumed by multiple teams and clients
2. Build delightful customer experiences and run user facing A/B tests to understand rider and driver tradeoffs
3. Solve NP-hard matching and routing problems and build rider and driver pricing models
4. Interact cross-functionally with engineering, product and operations teams and stakeholders
5. Mentor junior members of the team in engineering craftsmanship and professional development
\\-\\-\\-\\- Basic Qualifications ----
1. Strong technical delivery, with 5+ years of experience experience building highly scalable software
2. Excellent written and verbal communication skills; experience writing detailed technical documents.
3. Experience with Java, Go or C++.
4. Passionate about helping teams grow by inspiring and mentoring engineers.
\\-\\-\\-\\- Preferred Qualifications ----
1. Bachelor's or advanced degree in Computer Science or a related field
2. Experience working cross-functionally with Product Management, Data Science, and Business partners
3. Experience working on Marketplace problems. Strong analytical and problem-solving skills
4. Experience building software engineering solutions for prediction and optimization problems
5. Experience designing reinforcement learning or other advanced ML algorithms.
6. Passionate about consumer experiences, with a track record of building successful consumer features
7. Ownership, taking a personal stake in the success of the product and the team
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 [](;br>
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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.