Uber
Senior Staff Machine Learning Engineer - Core Services Engineering
$267K–$297K
Sunnyvale, California +2 · Senior Staff · Full-time · Posted Oct 26, 2026
- Location
- Sunnyvale, California
San Francisco, California
Seattle, Washington - Experience
- 10+ years of industry experience developing machine learning models and shipping ML solutions to production.
- Education
- Master’s degree in Computer Science, Engineering, Mathematics, or related field.
About the job
Leads development and production rollout of machine learning systems for fraud prevention, identity verification, and account integrity at Uber.
What you'll do
- Shape the team's technical roadmap and problem formulations with product, data science, and engineering leadership.
- Design and productionize scalable ML solutions, owning the model pipeline, system design, implementation, A/B testing, and rollout.
- Help define the MLE role and develop talent across the organization.
What they ask for
- 10+ years of industry experience developing classical and deep learning models and shipping ML solutions to production.
- Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Expertise in ML methodologies and experience applying ML, statistics, or optimization to large-scale real-world problems.
- Industry experience with ML frameworks and complex data pipelines, and programming languages such as Python, Spark SQL, Presto, Go, or Java.
Nice to have
- PhD in Computer Science, Engineering, Mathematics, or a related field; familiarity with multi-task learning, LLMs, or anomaly detection.
- Fraud domain knowledge.
Pay
USD $267,000 per year - USD $297,000 per year (base salary)
Tools
Tensorflow, Pytorch, JAX, Python, Spark SQL, Presto, Go, Java
AI focus
Develops fraud prevention and account integrity solutions, including defenses against AI-driven fraud; preferred areas include LLMs and anomaly detection.
Model-written summary · the original posting is authoritative