Overview
On Site
USD 167,000.00 - 185,500.00 per year
Full Time
Skills
Pricing
Finance
Economics
Dynamics
Mathematics
Statistics
FOCUS
Software Engineering
Deep Learning
Optimization
Algorithms
PyTorch
TensorFlow
Python
Java
C++
Communication
Machine Learning (ML)
Online Training
Real-time
Performance Appraisal
Law
Legal
Collaboration
Job Details
About the Role
Uber's Marketplace organization is tasked with designing pricing and dispatch algorithms to improve marketplace efficiency. We try to balance the needs of riders and earners on our platform and are responsible for growing the business by improving our users' experiences while achieving the company's financial goals. We build optimization algorithms, ML models, and the scalable systems that serve them across hundreds of markets globally.
About the Team
The Session Value team is a new effort within Marketplace to help create a central mechanism to score our decisions incorporating both short-term and long-term effects on our riders and earners. Put differently, the team is responsible for defining a central marketplace objective that will then be optimized for across all Marketplace systems and as such will help decide the direction for the entire marketplace.
The team is a mix of experienced engineers with diverse backgrounds (such as Economics, ML and Backend) focused on understanding complex marketplace dynamics and user behavior.
What You'll Do
You will be working with backend engineers, economists, and other ML engineers to build behavioral models and predictors for marketplace outcomes and metrics to be used in objective functions across Marketplace.
You will be working with partners from multiple teams, you will be defining metrics, monitoring production ML models, and building scalable ML systems for serving real-time rides traffic.
Basic Qualifications
- Masters or PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning.
- Good software engineering fundamentals
- Expertise in deep learning and optimization algorithms.
- Experience with ML frameworks such as PyTorch and TensorFlow.
- Proficiency in one or more coding languages such as Python, Java, Go, or C++.
- Strong communication skills and can work effectively with cross-functional partners.
- Strong sense of ownership and tenacity toward hard machine-learning projects.
Preferred Qualifications
- Experience in serving and monitoring online training systems such as real time recommendation systems.
- Experience designing and implementing novel metrics for performance evaluation.
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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.
Uber's Marketplace organization is tasked with designing pricing and dispatch algorithms to improve marketplace efficiency. We try to balance the needs of riders and earners on our platform and are responsible for growing the business by improving our users' experiences while achieving the company's financial goals. We build optimization algorithms, ML models, and the scalable systems that serve them across hundreds of markets globally.
About the Team
The Session Value team is a new effort within Marketplace to help create a central mechanism to score our decisions incorporating both short-term and long-term effects on our riders and earners. Put differently, the team is responsible for defining a central marketplace objective that will then be optimized for across all Marketplace systems and as such will help decide the direction for the entire marketplace.
The team is a mix of experienced engineers with diverse backgrounds (such as Economics, ML and Backend) focused on understanding complex marketplace dynamics and user behavior.
What You'll Do
You will be working with backend engineers, economists, and other ML engineers to build behavioral models and predictors for marketplace outcomes and metrics to be used in objective functions across Marketplace.
You will be working with partners from multiple teams, you will be defining metrics, monitoring production ML models, and building scalable ML systems for serving real-time rides traffic.
Basic Qualifications
- Masters or PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning.
- Good software engineering fundamentals
- Expertise in deep learning and optimization algorithms.
- Experience with ML frameworks such as PyTorch and TensorFlow.
- Proficiency in one or more coding languages such as Python, Java, Go, or C++.
- Strong communication skills and can work effectively with cross-functional partners.
- Strong sense of ownership and tenacity toward hard machine-learning projects.
Preferred Qualifications
- Experience in serving and monitoring online training systems such as real time recommendation systems.
- Experience designing and implementing novel metrics for performance evaluation.
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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.