Staff ML Engineer - Risk & Trust, Fraud Prevention at Scale

Uber; United States; On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Job summary

Uber is seeking an experienced Staff Machine Learning Engineer for the Risk and Trust org. You will lead high-impact ML projects to detect fraud, verify identities, and secure accounts across Uber's global platform.

You'll collaborate with product, data science, and engineering teams to build scalable ML systems, mentor others, and own end-to-end lifecycle from data prep to production monitoring, delivering measurable business impact while preserving a seamless user experience.

Qualifications

• 8+ years of industry experience developing machine learning models, including classical ML and deep learning, and deploying ML solutions to production.
• Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
• Strong problem-solving skills and a solid foundation in machine learning algorithms, statistics, and optimization.
• Demonstrated experience applying ML techniques to solve complex, large-scale real-world problems.
• Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience building large-scale data pipelines and working with distributed data processing frameworks such as Spark and SQL-based systems.

Responsibilities

• Collaborate with product, data science, and engineering partners to proactively identify high-impact business opportunities, formulate complex ML problems, and help shape the team's technical roadmap.
• Apply deep expertise in machine learning, optimization, and statistics to design and develop innovative, scalable, and robust ML solutions that drive measurable business impact.
• Provide technical leadership on complex ML initiatives, drive engineering best practices, and mentor other MLEs to elevate the team's technical capabilities.
• Own the end-to-end ML development lifecycle, including data preparation, feature engineering, model development, system design, implementation, A/B testing, deployment, and production monitoring. Partner with cross-functional teams to productionize ML solutions at scale.

Skills

Python

PyTorch

TensorFlow

JAX

Spark

SQL

Education

Master's degree in CS/Engineering/Math/Statistics

Tools

PyTorch

TensorFlow

JAX

Job description

Uber is seeking an experienced Staff Machine Learning Engineer for the Risk and Trust org. You will lead high-impact ML projects to detect fraud, verify identities, and secure accounts across Uber's global platform.

You'll collaborate with product, data science, and engineering teams to build scalable ML systems, mentor others, and own end-to-end lifecycle from data prep to production monitoring, delivering measurable business impact while preserving a seamless user experience.