Senior Machine Learning Engineer - Identity
Listed on 2026-02-06
-
Software Development
Machine Learning/ ML Engineer, AI Engineer, Software Engineer, Data Engineer
Senior Staff Machine Learning Engineer - Trusted Identity at Uber
About the RoleWe 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.
Whatthe 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.
- 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.
- Ph.D. degree in Computer Science, Engineering, Mathematics or related field.
- Familiarity with multi‑task learning, LLMs, and anomaly detection.
- Fraud domain knowledge.
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
Mid‑Senior level
Employment TypeFull‑time
Job FunctionEngineering and Information Technology
IndustriesInternet Marketplace Platforms
Referrals increase your chances of interviewing at Uber by 2×.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).