Page Not Found | Uber

Uber

Quick summary

Work type
On-site
Location
San Francisco, CASeattle, WASunnyvale, CA
Posted
25 days ago

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Salary context

How this pay compares to similar roles

Similar $221k
$171k most similar roles pay here $272k

This listing doesn't post a salary. Most similar roles pay $192,915–$249,750.

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 343 open roles on FindRole.

Listed pay typically runs $202,000–$202,000 across 55 roles with salary data.

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At a glance

TL;DR · Page Not Found | Uber

As a Senior Machine Learning Engineer at Uber, you will join either the Aura or Rider Intelligence teams to drive strategic ML solutions that enhance rider experiences and business metrics. Your day-to-day involves defining and deploying advanced models like multi-task learning and transformers, collaborating with data scientists and product managers to translate insights into technical solutions, and ensuring best practices in code quality and monitoring. You’ll work with cutting-edge technologies such as TensorFlow, PyTorch, and JAX, alongside Python, Spark SQL, Presto, Java, and Go, to build scalable and reliable ML systems that handle large-scale real-world problems. This role requires a strong background in distributed systems and deep learning, with experience in online experimentation and statistical methods, making you an integral part of teams focused on personalizing the booking experience for millions of riders globally.

What you'll do

  • Define and drive ML solutions for product recommendations and merchandising.
  • Lead a diverse engineering team in developing and deploying ML models.
  • Enhance best practices by producing high-quality code and documentation.
  • Translate business insights into technical solutions with data scientists.
  • Design scalable, maintainable ML solutions using deep-learning techniques.

What we're looking for

  • 3+ years of experience in software engineering with a focus on data-driven methodologies and deep learning.
  • Strong expertise in machine learning methodologies and problem-solving skills.
  • Experience applying ML, statistics, or optimization techniques to solve large-scale real-world problems.
  • Proficiency in industry-standard ML frameworks (TensorFlow, PyTorch, JAX) and complex data pipelines.
  • Solid programming skills in Python, Spark SQL, Presto, Java, and Go.
  • 5+ years of experience specializing in applied machine learning methods preferred.

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