Staff Machine Learning Engineer

About the Role

Uber Marketplace is at the core of Ubers business and Marketplace Matching is a strategically critical component of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning data science and economics and developing highly reliable and scalable platforms to accelerate Ubers impact on the transportation industry.

This role will drive high-impact projects to optimize rider & driver matching at Uber using optimization machine learning and causal inference. We are looking for individuals who not only excel in problem solving and critical thinking but also are interested and proficient in writing production code converting ideas to scalable systems.

What the Candidate Will Do

• Build elastic scalable and fault-tolerant distributed machine learning libraries and systems used to power machine learning development productivity across Uber.
• Work closely with engineers in the broader Uber MLAI Platform Team Michelangelo to improve the broader ML Platform ecosystem for our users.
• Work closely with Ubers ML community with ML Engineers Data Scientists and Researchers to scope and build new abstractions for scalable machine learning.

Basic Qualifications

• PhD or equivalent in Computer Science Engineering Mathematics or related field
• Programming language e.g. C C Java Python or Go
• 5 years of proven experience in the industry
• Large-scale training using data structures and algorithms
• Modern machine learning algorithms e.g. tree-based techniques supervised deep or probabilistic learning
• Machine Learning Software such as TensorflowPytorch Caffe Scikit-Learn or Spark MLLib

Preferred Qualifications

• Causal ML
• Reinforcement learning
• Contextual bandit models
• Personalization and ranking experience
• 8-10 years of proven experience in the industry

For San Francisco CA-based roles The base salary range for this role is USD232000 per year - USD258000 per year.

You will be eligible to participate in Ubers bonus program and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401k plan. You will also be eligible for various benefits. More details can be found at the following link httpsjobs.uber.comenbenefitshttpsjobs.uber.comenbenefits.

Ubers mission is to reimagine the way the world moves for the better. Here bold ideas create real-world impact challenges drive growth and speed fuels progress. What moves us moves the world - lets move it forward together.

Uber is proud to be an Equal Opportunity 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 formhttpsforms.gleaDWTk9k6xtMU25Y5A.

Offices continue to be central to collaboration and Ubers 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.