Senior Staff Machine Learning Engineer - Core Services Engineering

Uber; United States; On-site; USD 267,000 - 297,000; Full time

Benefits offered by this job

Bonuses & equity

401(k) plan

Company benefits

Job summary

Uber's Trusted Identity org is seeking a Senior Staff Machine Learning Engineer to join the Account Integrity team. You will shape the technical roadmap, design robust ML model pipelines, and drive end-to-end system delivery at scale in production.

Lead ML researchers and engineers, own AB testing, and collaborate with product and data science to apply ML, statistics, and optimization to real-world fraud prevention challenges on Uber's platform.

Qualifications

• 10+ years of ML model development and production experience.
• Master’s degree in Computer Science, Engineering, Mathematics or related field
• Strong problem-solving skills with ML methods
• Experience applying ML, statistics, or optimization to large-scale problems
• Experience with ML frameworks and languages: TensorFlow, PyTorch, JAX, Python, Spark SQL, Presto, Go, Java

Responsibilities

• Shape technical roadmap and problem formulations for the team.
• Design robust ML model pipelines and end-to-end system design, AB testing, and rollout.
• Lead MLE talent development within the org.
• Own the productionization of ML solutions at scale.

Skills

ML model development

Deep learning

Problem solving

ML methodologies

Python

Spark SQL

Presto

Go

Java

Education

Master’s degree in Computer Science, Engineering, Mathematics or related field

PhD in Computer Science, Engineering, Mathematics or related field

Tools

TensorFlow

PyTorch

JAX

Spark SQL

Presto

Go

Java

Job description

About the Role

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

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

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team.
2. Leverage algorithmic knowledge in machine. learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business.
3. Shape the MLE role and uplevel MLE talents in the org.
4. Be responsible for the End to End of the product - ML model pipeline & system design, implementation, AB testing, and rollout. Work with the team to productionize the 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 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 related field
2. Familiarity with multi-task learning, LLMs and anomaly detection
3. Fraud domain knowledge

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.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

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. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For San Francisco, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $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 & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.