ML Engineer, Risk & Trust - End-to-End ML Leader
Listed on 2026-10-17
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Uber is seeking a Staff Machine Learning Engineer to own end-to-end ML lifecycle for fraud, identity verification, and account security solutions. You will drive technical leadership, partner with product and data science teams, and deliver measurable business impact from scalable ML models.
Location is San Francisco, onsite, with compensation between USD 232,000 and 258,000 per year. Strong background in Python, PyTorch, Tensor Flow, or JAX is required along with Spark/SQL experience.
Step into the Staff ML Engineer, Risk & Trust
- End-to-End ML Leader role at Uber in San Francisco, CA, United States and grow with us.
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- End-to-End ML Leader in San Francisco, CA, United States.
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- End-to-End ML Leader for our team in San Francisco, CA, United States.
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