Uber

Sr Staff ML Engineer - Applied AI

Uber
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3 months ago

Base Salary

$267k - $297k/yr

Responsibilities

  • Define and champion the multi-year technical vision and architecture for foundation models across Search, Recommendations, and Conversational AI.
  • Set architectural standards and drive system design for high-leverage ML platforms across Mobility and Delivery.
  • Lead cross-team initiatives spanning retrieval, ranking, personalization, and LLM-powered assistants.
  • Evaluate build, fine-tune, and partner-model strategies with clear business rationale and long-term viability.
  • Provide principal-level technical leadership, mentor Staff and Senior Staff engineers, and establish technical excellence across the AI organization.
  • Set technical strategy for a large organization, influence product roadmaps at the executive level, and deliver measurable impact at global scale.

Requirements

  • Master’s degree or Ph.D. in Computer Science, Engineering, or Mathematics.
  • 12+ years of ML experience, including significant work on large-scale deep learning systems.
  • Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI.
  • Deep expertise in transformers, retrieval systems, ranking, and embedding architectures.
  • Strong experience with PyTorch and distributed training.
  • Ability to set technical strategy for a large organization and influence executive-level product roadmaps.
  • Strong product intuition and ability to connect model improvements to business outcomes.
  • Preferred: track record of launching multi-year, multi-organization ML initiatives that drove significant business outcomes.
  • Preferred: experience driving adoption of multi-year technical roadmaps across multiple large engineering organizations.
  • Preferred: experience elevating engineering standards through mentorship, technical leadership, and organization-wide best practices.

Benefits

  • Full-time employees are eligible to participate in a 401(k) plan and various benefits.
  • The role is based in San Francisco, California.

Tech Stack

Categories

Uber

About Uber

10,000+ employees

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

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