Staff Machine Learning Engineer

Uber is seeking a Staff Machine Learning Engineer to join their Eats Search and Discovery Team. This role offers an exciting opportunity to impact millions of Uber Eats users worldwide by enhancing their search experience. The position combines technical leadership with hands-on machine learning development, focusing on search algorithms, GenAI, and query understanding in the delivery space.

The role requires a blend of technical expertise and leadership skills, with responsibilities ranging from developing sophisticated ML solutions to mentoring team members. You'll be working with cutting-edge technologies and frameworks like TensorFlow, PyTorch, and JAX, while handling large-scale distributed systems.

As a Staff ML Engineer, you'll lead the design and implementation of machine learning solutions that directly impact user satisfaction and operational efficiency. The position offers competitive compensation, including a base salary range of $218,000-$242,000, along with bonus potential and equity awards.

The ideal candidate will bring 7+ years of ML engineering experience, strong statistical analysis skills, and the ability to translate complex problems into practical ML solutions. You'll work in a hybrid environment, collaborating with cross-functional teams while having the flexibility to balance office and remote work.

This role presents an excellent opportunity for experienced ML professionals looking to make a significant impact at a global technology leader while working on challenging problems in search and discovery systems at scale.