Machine Learning Engineer II - GenAi

Michelangelo, Uber's machine learning platform team, is seeking a Machine Learning Engineer II for their GenAI division. The role involves building scalable ML solutions related to LLM and embedding techniques, which will be applied across various Uber services. Key responsibilities include collaborating with customer teams to deliver business impact, defining dependency behaviors, and working on solutions for customer obsession, eats recommendations, software testing frameworks, and auto code gen tools.

The ideal candidate should have experience in:

• Building and standardizing machine learning solutions
• Developing metrics for machine learning models
• Working with embeddings and analytics
• Transfer learning or model fine-tuning
• ML Ops (preferred)

This position offers an opportunity to work on cutting-edge AI technologies and contribute to Uber's journey from predictive to generative AI. The role requires a strong background in machine learning, software engineering, and a passion for developing scalable AI solutions that will impact various aspects of Uber's business.

Candidates should have either a PhD in a relevant field or 3 years of full-time Software Engineering experience, including at least 1 year of specialized experience in areas such as Python programming. The role is based in Sunnyvale, California, with a hybrid work arrangement, requiring at least half of the work time to be spent in the office.

Uber offers a competitive salary range of $158,000 - $175,500 per year, along with bonus eligibility, potential equity awards, and comprehensive benefits. The company is committed to diversity, equal opportunity, and creating an inclusive work environment for all qualified applicants.