Senior Staff Machine Learning Engineer – Moonshot AI

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CA
Salary
$267,000–$267,000 / yr
Posted
30 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $267k
$170k most similar roles pay here $277k

This role pays more than 81% of similar roles. Most pay $184,050–$256,803 — the shaded band above. At the midpoint, this role pays about $267k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

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 95 open roles on FindRole.

Listed pay typically runs $232,000–$232,000 across 76 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Senior Staff Machine Learning Engineer – Moonshot AI

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As a Senior Staff Machine Learning Engineer on the Moonshot AI team at Uber AI Solutions in Sunnyvale, California, you will lead the development of advanced machine learning platforms for optimizing global gig marketplaces and automating critical annotation workflows. Your responsibilities include shaping technical visions, architecting scalable ML systems, driving end-to-end solutions from research to deployment, and leading innovation in generative AI and large language models. You will work with modern frameworks like PyTorch and TensorFlow, and collaborate closely with product managers and cross-functional teams to ensure reliability and scalability of your projects. With a focus on enterprise-scale quality evaluation and AI research, you will mentor engineering talent and contribute to thought leadership within the industry.

Skills

Python PyTorch TensorFlow JAX Docker Kubernetes AWS CI/CD PostgreSQL GenAI LLM-as-Judge Computer Vision Natural Language Processing Deep Learning Generative AI ML Ops MLOps Feature Stores Experiment Platforms

What you'll do

  • Shape the technical vision and roadmap for Moonshot AI's ML initiatives.
  • Architect foundational ML platforms and systems for marketplace optimization.
  • Drive end-to-end ML solutions from conception through production deployment.
  • Lead GenAI innovation by designing cutting-edge annotation assistance systems.
  • Advance AI research capabilities by establishing research direction and benchmarks.
  • Build industry-leading evaluation frameworks using LLM-as-Judge systems.
  • Mentor and develop engineering talent, raising technical standards across teams.

What we're looking for

  • 10+ years of industry experience developing and shipping production machine learning models
  • Ph.D., MS, or Bachelor's degree in Computer Science, Machine Learning, or a related field
  • Proven track record of technical leadership on large-scale ML initiatives with measurable business impact
  • Deep expertise in Computer Vision, Natural Language Processing, Deep Learning, and Generative AI
  • Strong proficiency with modern ML frameworks (PyTorch, TensorFlow, JAX) and programming languages
  • Extensive experience with distributed training infrastructure and ML platform design

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