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Senior Machine Learning Engineer - Identity

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Uber
Full Time position
Listed on 2026-02-06
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer, Software Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 257000 - 285500 USD Yearly USD 257000.00 285500.00 YEAR
Job Description & How to Apply Below
Position: Senior Staff Machine Learning Engineer - Trusted Identity

Senior Staff Machine Learning Engineer - Trusted Identity at Uber

About the Role

We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org  Trusted Identity org plays a crucial role in our mission to empower users with secure and seamless digital experiences by establishing industry-leading standards for identity verification, fraud prevention, and proactively safeguarding against the evolving landscape of AI‑driven fraud. Our continued obsession for innovation in this space is essential to ensure safety as people interact on Uber’s platform.

What

the Candidate Will Do
  • Work with product, data science, and engineering leadership to shape the technical roadmap and problem formulations for the team.
  • Leverage algorithmic knowledge in machine learning, optimization, and statistics to design robust engineering solutions that positively impact Uber’s business.
  • Shape the MLE role and up‑level MLE talents in the organization.
  • Be responsible for the end‑to‑end of the product—ML model pipeline & system design, implementation, A/B testing, and rollout; work with the team to product ionize solutions at scale.
Basic Qualifications
  • 10+ years of industry experience developing machine learning models (both classical and deep learning) and shipping ML solutions to production.
  • Master’s degree in Computer Science, Engineering, Mathematics or related field.
  • Strong problem‑solving skills, with expertise in ML methodologies.
  • Experience applying ML, statistics, or optimization techniques to solve large‑scale real‑world problems.
  • Industry experience in ML frameworks (e.g., Tensor Flow, PyTorch, or JAX) and complex data pipelines; programming in Python, Spark SQL, Presto, Go, and Java.
Preferred Qualifications
  • Ph.D. degree in Computer Science, Engineering, Mathematics or related field.
  • Familiarity with multi‑task learning, LLMs, and anomaly detection.
  • Fraud domain knowledge.
Compensation

For New York, NY‑based roles: $257,000–$285,500 per year. For San Francisco, CA‑based roles: $257,000–$285,500 per year. For Seattle, WA‑based roles: $257,000–$285,500 per year. For Sunnyvale, CA‑based roles: $257,000–$285,500 per year. For all US locations, you will be eligible to participate in Uber’s bonus program, may be offered an equity award & other types of compensation. You will also be eligible for various benefits.

More details can be found at

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Internet Marketplace Platforms

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Position Requirements
10+ Years work experience
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