ML Engineer II

3 days ago

San Francisco, California, United States Uber Full time $167,000 - $185,500 per year

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

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