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Uber
Staff Machine Learning Engineer
San Francisco, California, United States · Hybrid · Full time · Senior level
$232k–$258k / year
About the role
Lead development of machine learning solutions to protect users and maintain platform integrity. Collaborate cross-functionally to tackle fraud and security challenges.
What you’ll do
• Collaborate with product, data science, and engineering partners. • Design and develop scalable ML solutions. • Provide technical leadership and mentor engineers. • Own end-to-end ML development lifecycle. • Productionize ML solutions at scale.
What you’ll bring
• 8+ years developing and deploying ML models. • Master's degree in related technical field. • Strong skills in ML algorithms and optimization. • Proficiency in Python and ML frameworks. • Experience with large-scale data pipelines.
Life at Uber
Eligible for bonuses, equity awards, 401(k) plan, and various benefits. Hybrid work with at least 50% in-office time.
About Uber
Uber operates a global platform providing transportation and delivery services, focusing on innovation and user safety.