Senior Staff Machine Learning Engineer

Uber

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Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Posted
78 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $229k
$171k $289k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $202,800–$254,750.

Based on 240 similar postings.

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About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 107 open roles on FindRole.

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At a glance

TL;DR · Senior Staff Machine Learning Engineer

The Sr Staff Machine Learning Engineer joins the Uber AI Solutions team to build the data and evaluation infrastructure for next-generation AI models. In this role, you will own a vertical from start to finish, developing the machine learning and backend systems required to produce high-quality, model-ready data across modalities including text, images, video, audio, and physical AI. You will drive business metrics like revenue and market reach while navigating ambiguity to make strategic technical calls. The position requires expertise in machine learning systems, backend distributed systems, GenAI, and LLM systems at production scale. You will solve complex problems involving real-world data, agentic RL environments, evaluation, and multimodal or multilingual ML to support the development of advanced AI systems.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

What you'll do

  • Build the machine learning and backend systems required to support scalable data and evaluation infrastructure.
  • Own a product vertical from start to finish, including technical architecture and product development.
  • Drive key business metrics such as revenue, customer acquisition, and market reach.
  • Make strategic and technical decisions to navigate ambiguity and ensure business success.
  • Act as a technical partner to key customers to grow accounts and shape the product roadmap.
  • Recruit and lead a team to scale the business and maintain high performance standards.
  • Develop production-scale GenAI and LLM systems focusing on architecture, evaluation, and safety.

What we're looking for

  • Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related discipline.
  • 7+ years of experience building and shipping products powered by ML.
  • Proven track record of owning both the technology and the business results for a significant product area.
  • Proven track record of driving measurable business growth such as revenue, adoption, or market expansion.
  • Deep expertise in machine learning systems and backend distributed systems to build production systems that scale.
  • Exceptional communication and leadership skills to align customers, product, and business leadership.
  • Experience taking a product or business line from early stage to meaningful scale in a startup-like environment (preferred).
  • Expertise in GenAI and LLM systems at production scale, including architecture, evaluation, safety, and responsible deployment (preferred).

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