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 at Uber.
The 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 and fraud prevention, while 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 Need / Bonus Points
Basic Qualifications
Preferred Qualifications
For New York, NY‑based roles : The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For San Francisco, CA‑based roles : the base salary range is USD$257,000 per year - USD$285,500 per year. For Seattle, WA‑based roles : the base salary range is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA‑based roles : the base salary range is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https : / / www.uber.com / careers / benefits.
Uber is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https : / / docs.google.com / forms / d / e / 1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA / viewform
#J-18808-Ljbffr
Staff Machine Learning Engineer • New York, NY, United States