Uber - Sunnyvale, CA

posted 28 days ago

Full-time - Mid Level
Sunnyvale, CA
Transit and Ground Passenger Transportation

About the position

The Machine Learning Engineer II - GenAi role at Uber focuses on building scalable machine learning solutions, particularly in generative AI and embedding techniques. The position is part of the Michelangelo team, which has been supporting Uber's machine learning needs since 2015. The engineer will collaborate with various teams to deliver impactful machine learning solutions across different applications within Uber, from customer recommendations to software testing frameworks.

Responsibilities

  • Build Gen AI and embedding solutions with customer teams.
  • Collaborate with other teams in machine learning platforms to deliver business impact with customer teams.
  • Define the behavior of dependencies and hold the depending team accountable.

Requirements

  • PhD or equivalent in Computer Science, Engineering, Mathematics, or related field, or 3 years of full-time Software Engineering work experience.
  • 1 year of technical software engineering experience in programming with Python.

Nice-to-haves

  • Experience building machine learning solutions and standardizing them.
  • Experience building metrics for machine learning solutions.
  • Experience building embeddings and analytics.
  • Experience in transfer learning or model fine-tuning.
  • Experience in ML Ops.

Benefits

  • Base salary range of USD$158,000 - USD$175,500 per year.
  • Eligibility to participate in Uber's bonus program.
  • Potential equity award and other types of compensation.
  • Various benefits as detailed on Uber's careers page.
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