About the Role

The Earner Incentive team at Marketplace builds ML solutions for incentives to improve marketplace balance and efficiency. The team builds machine learning systems to solve critical ML problems in Marketplace such as forecasting undersupply geo and times, optimizing incentive levers to influence marketplace dynamics, and understanding earner behaviors and preferences for targeting / personalization.

We are looking for an ML engineer to work on the design, development, optimization, and productization of machine learning (ML) solutions and systems that are used to solve strategically important or vaguely defined problems. You will build ML solutions to improve Uber’s earner incentive products and improve marketplace balance and efficiency.

What You Will Do

• Design, develop, and productionize machine learning (ML) solutions with optimization engines.
• Productionize and deploy these models for real-world application.
• Review code and designs of teammates, providing constructive feedback.
• Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.

Basic Qualifications

• Bachelors (or higher) in Computer Science, Statistics, or a related field.
• Experience with ML packages such as Tensorflow, PyTorch, JAX, Scikit-Learn, etc.

Preferred Qualifications

• 2+ years of experience in industry with a strong focus on machine learning and optimization.
• Experience in modern deep learning architectures and probabilistic models.
• Solid understanding of statistical analysis and feature engineering techniques.
• Experience in optimization (RL / Bayes / Bandits) and online learning.
• Experience working in a fast-paced, agile environment.
• Excellent communication and collaboration skills.
• Ability to work independently and take ownership of projects.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 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 https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action 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.

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.