ML Engineer II (Session Value)

Uber • San Francisco, CA

76d • $167,000 - $185,500 • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• Experience in serving and monitoring online training systems such as real-time recommendation systems.
• Experience designing and implementing novel metrics for performance evaluation.

Responsibilities

• Work with backend engineers, economists, and other ML engineers to build behavioral models and predictors for marketplace outcomes and metrics.
• Define metrics, monitor production ML models, and build scalable ML systems for serving real-time rides traffic.

Benefits

• Eligible to participate in Uber's bonus program.
• May be offered an equity award & other types of compensation.
• Eligible for various benefits.

What This Job Offers

• Job Type: Full-time
• Industry: Transit and Ground Passenger Transportation
• Education Level: Master's degree