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Uber Senior Machine Learning Engineer - Earner Incentives 
United States, West Virginia 
506651346

24.06.2024

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.