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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 empower the 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 the space is essential to ensure safety as people interact on Uber's platform.
Job Responsibility:
Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team
Leverage algorithmic knowledge in machine. learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business
Shape the MLE role and uplevel MLE talents in the org
Be responsible for the End to End of the product - ML model pipeline & system design, implementation, AB testing, and rollout. Work with the team to productionize the solutions at scale
Requirements:
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 in applying ML, statistics, or optimization techniques to solve large-scale real-world problems
Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines
programming languages such as Python, Spark SQL, Presto, Go, Java
Nice to have:
PhD degree in Computer Science, Engineering, Mathematics or related field
Familiarity with multi-task learning, LLMs and anomaly detection
Fraud domain knowledge
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp