Machine Learning Engineer - Applied AI

Uber's Applied AI team is seeking a Machine Learning Engineer to drive innovative AI solutions across the company's core business problems. This role offers an exciting opportunity to work at the intersection of cutting-edge AI technologies and real-world applications. The position involves collaborating with cross-functional teams in areas including Computer Vision, ML Optimization, Geospatial AI, Personalization, and Generative AI.

As a Machine Learning Engineer, you'll be responsible for building and implementing sophisticated AI solutions that leverage Large Language Models (LLMs) to capture semantic information about Uber's various entities. You'll work on generating embeddings to enhance understanding of places, merchants, items, and users, ultimately improving ML models across the platform and creating personalized user experiences.

The ideal candidate should have a strong technical background with either a PhD and 2 years of experience or 5 years of software engineering experience, with deep expertise in machine learning technologies and frameworks. Experience with modern deep learning architectures, recommender systems, and big data technologies is crucial. You'll be working in a hybrid environment, collaborating with various teams across the organization.

This role offers competitive compensation, including a base salary range of $158,000-$175,500, along with bonus potential, equity awards, and comprehensive benefits. Join Uber's Applied AI team to work on challenging problems at scale and make a significant impact on the future of transportation and delivery technology.