Uber Senior Machine Learning Engineer - Earner Incentives 

United States, West Virginia 

506651346

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.
• Mentor junior engineers.

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

• 5+ 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 San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.