Senior Staff Machine Learning Engineer - Core Services Engineering

About the Role

We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within the Trusted Identity engineering organization at Uber.

The Trusted Identity org plays a crucial role in our mission to empower 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 with innovation in this space is essential to ensure safety as people interact on Uber's platform.

What the Candidate Will Do

1. Work with product, data science, and engineering leadership to shape the technical roadmap and problem formulations for the team.
2. Leverage algorithmic knowledge in machine learning, optimization, and statistics to design robust engineering solutions to positively impact Uber's business.
3. Shape the MLE role and uplevel MLE talent in the organization.
4. Be responsible for the end-to-end product lifecycle: ML model pipeline and system design, implementation, A/B testing, and rollout. Work with the team to productionize solutions at scale.

Basic Qualifications

1. 10+ years of industry experience developing machine learning models (both classical and deep learning) and shipping ML solutions to production.
2. Master's degree in Computer Science, Engineering, Mathematics, or a related field.
3. Strong problem-solving skills, with expertise in ML methodologies.
4. Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems.
5. 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.

Preferred Qualifications

1. PhD degree in Computer Science, Engineering, Mathematics, or a related field.
2. Familiarity with multi-task learning, LLMs, and anomaly detection.
3. Fraud domain knowledge.

Compensation and Benefits

For San Francisco, CA, Seattle, WA, and Sunnyvale, CA-based roles, the base salary range is USD $267,000 - $297,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program and may be offered an equity award and other types of compensation. All full-time employees are eligible to participate in a 401(k) plan and various benefits.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves, we'd love to hear from you.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office.

Uber is an Equal Opportunity Employer. If you have a disability or special need that requires accommodation, please let us know by completing this form.