Uber
About the Role
Uber's Marketplace organization designs pricing and dispatch algorithms to improve marketplace efficiency. We balance the needs of riders and earners while growing the business by improving user experiences and achieving financial goals. We build optimization algorithms, ML models, and scalable systems that serve them across hundreds of markets globally. About the Team
The Session Value team is a new effort within Marketplace to create a central mechanism to score decisions, incorporating short-term and long-term effects on riders and earners. The team defines a central marketplace objective that will be optimized across all Marketplace systems and guide the direction of the marketplace. The team is a mix of experienced engineers with diverse backgrounds (economics, ML, backend) focused on understanding complex marketplace dynamics and user behavior. What You''ll Do
Work with backend engineers, economists, and other ML engineers to build behavioral models and predictors for marketplace outcomes and metrics used in objective functions across Marketplace. Collaborate with partners from multiple teams to define metrics, monitor production ML models, and build 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 ability to 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. Compensation and Benefits
For San Francisco, CA-based roles: The base salary range for this role is USD 167,000 to 185,500 per year. You will be eligible to participate in Uber''s bonus program, and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at the Uber Careers benefits page. Senioriy level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Internet Marketplace Platforms
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Uber's Marketplace organization designs pricing and dispatch algorithms to improve marketplace efficiency. We balance the needs of riders and earners while growing the business by improving user experiences and achieving financial goals. We build optimization algorithms, ML models, and scalable systems that serve them across hundreds of markets globally. About the Team
The Session Value team is a new effort within Marketplace to create a central mechanism to score decisions, incorporating short-term and long-term effects on riders and earners. The team defines a central marketplace objective that will be optimized across all Marketplace systems and guide the direction of the marketplace. The team is a mix of experienced engineers with diverse backgrounds (economics, ML, backend) focused on understanding complex marketplace dynamics and user behavior. What You''ll Do
Work with backend engineers, economists, and other ML engineers to build behavioral models and predictors for marketplace outcomes and metrics used in objective functions across Marketplace. Collaborate with partners from multiple teams to define metrics, monitor production ML models, and build 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 ability to 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. Compensation and Benefits
For San Francisco, CA-based roles: The base salary range for this role is USD 167,000 to 185,500 per year. You will be eligible to participate in Uber''s bonus program, and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at the Uber Careers benefits page. Senioriy level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Internet Marketplace Platforms
#J-18808-Ljbffr