Senior ML Engineer

Uber

Actively hiring Verified listing
Seattle, WA · San Francisco, CA Posted 10 days ago $202,000–$202,000 / year
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At a glance

AI generated

TL;DR

As a Senior ML Engineer on Uber’s AI Security team in Seattle or San Francisco, you will work at the intersection of machine learning and security to develop dynamic, data-driven systems that enhance Uber’s Zero Trust Architecture. Your role involves translating ambiguous business needs into concrete ML problems, designing and iterating on models for real-time risk-adaptive decisions, and integrating these solutions into critical access pathways like containers, APIs, and gateways. You will collaborate with Security, Risk, and Infrastructure teams to deliver scalable, production-ready systems while mentoring junior engineers and evangelizing best practices in ML. The ideal candidate has extensive experience in formulating ML problems from ambiguous requirements, proficiency in PyTorch or TensorFlow, and hands-on skills in feature engineering and model deployment. Familiarity with large-scale data infrastructure like Kafka, Pinot, and Spark is also essential, as well as a background in access control and enterprise security systems.

Skills

Python PyTorch TensorFlow XGBoost LightGBM LogisticRegression SVMs CNNs RNNs Transformers Kafka Pinot Hive Cassandra Spark Flink FeatureEngineering ModelDeployment MLPipelines EnsembleMethods GraphBasedModels

What you'll do

  • Translate ambiguous business and security needs into concrete ML problems.
  • Develop and productionize real-time ML models for risk-adaptive decisions.
  • Engineer features from Uber’s risk systems, logs, and contextual signals.
  • Integrate ML systems into critical access pathways at Uber.
  • Mentor junior engineers and evangelize ML best practices within the team.

What we're looking for

  • 5+ years experience translating ambiguous business/security needs into ML problems.
  • Proficient in a broad range of ML algorithms and frameworks (e.g., PyTorch, TensorFlow).
  • Hands-on experience with feature engineering, model development, and productionization.
  • Deep expertise in advanced ML techniques like ensemble methods and neural networks.
  • Familiarity with large-scale data infrastructure systems such as Kafka, Spark, and Flink.
  • Background in access control, authentication, or enterprise security systems.

Market check

Salary context

This $202,000–$202,000 range sits above 70% of similar postings on FindRole.

Peer median band

$129,550–$225,100

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$142,500–$217,725

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 19 open roles on FindRole.

Listed pay typically runs $202,000–$202,000 across 19 roles with salary data.

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