Software Engineer II - Machine Learning, Marketplace/Maps/Membership/AV

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY · San Francisco, CA · Seattle, WA · Sunnyvale, CA
Salary
$171,000–$171,000 / yr
Posted
73 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $171k
$131k most similar roles pay here $235k

This role pays less than 57% of similar roles. Most pay $145,150–$217,975 — the shaded band above. At the midpoint, this role pays about $171k versus about $182k 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.

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At a glance

TL;DR · Software Engineer II - Machine Learning, Marketplace/Maps/Membership/AV

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As a Software Engineer II in Machine Learning at Uber, you will join high-impact teams working on large-scale systems that influence millions of users across transportation and membership services. Your role involves designing and deploying scalable machine learning models to solve complex business challenges, collaborating with data scientists and cross-functional teams to develop technical specifications, and writing efficient code for low-latency model execution. You will also implement monitoring systems to ensure model performance and stability in live environments while staying updated on industry trends. The ideal candidate has a master’s degree or higher in a relevant field, over three years of ML experience, expertise with the full ML lifecycle including deployment and orchestration, and strong communication skills for translating business problems into technical solutions.

Skills

Python TensorFlow Kubernetes Docker AWS CI/CD Prometheus Grafana PostgreSQL Redis Scikit-learn Pandas NumPy Jupyter Git SQL REST Swagger GraphQL

What you'll do

  • Design and deploy scalable machine learning models to solve real-world business problems.
  • Write efficient code ensuring ML models run with low latency and high reliability.
  • Implement monitoring systems to track model performance in live environments.
  • Collaborate with data scientists to gather requirements and translate them into technical specifications.
  • Stay updated on standard ML algorithms and industry trends for continuous improvement.
  • Experience with full ML lifecycle, including deployment, containerization, and workflow orchestration.

What we're looking for

  • Bachelor’s or Master’s degree in a relevant field with 1+ years of ML work experience.
  • Develop and productionize scalable machine learning models for real-world problems.
  • Experience with the full ML lifecycle including deployment, containerization, and workflow orchestration.
  • Translate business problems into technical solutions through structured and principled methods.
  • Strong communication skills for documentation and design discussions.

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