Uber Sr Machine Learning Engineer Mobility Matching 

United States, West Virginia 

90018601

What the Candidate Will Do:

• Lead the design, development, optimization, and productization of machine learning (ML) solutions and systems that are used to solve strategically important or vaguely defined problems.
• Build ML solutions to improve Uber marketplace efficiency while delivering magical user experience
• 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:

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field, with 3+ years of full-time engineering experience
• Experience working with multiple multi-functional teams(product, science, product ops etc).
• Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

Preferred Qualifications:

• 4+ year of ML experience and building ML models

  Experience in modern deep learning architectures and probabilistic models.

  Experience with the design and architecture of ML systems and workflows.

  Experience in optimization (RL / Bayes / Bandits) and online learning.

• Excellent communication skills and the ability to collaborate effectively with cross-functional teams

• Strong analytical and problem-solving skills are necessary to tackle complex challenges

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

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.