We are looking for an experienced Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber. Our team plays a crucial role in empowering users with secure and seamless digital experiences by establishing industry-leading standards for identity verification, account integrity, and advanced fraud prevention. We proactively safeguard the platform against the evolving landscape of AI-driven fraud, ensuring safety and trust remain at the core of every interaction on Uber's platform. Our focus on fraud prevention is essential to protecting our users and maintaining the integrity of our global services.
About the Role
We are seeking a seasoned Senior Staff Machine Learning Engineer to join the Risk and Trust engineering organization at Uber, focusing on innovative fraud prevention and account integrity solutions. The Risk and Trust organization is central to Uber's mission of providing secure and seamless digital experiences. We focus on establishing industry-leading standards for identity verification, fraud prevention, and account integrity, while proactively defending against sophisticated, AI-driven threats. Our commitment to innovation in fraud prevention is essential to maintaining a safe and trusted environment for everyone who uses the Uber platform.
What You'll Do
- Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team.
- Leverage algorithmic knowledge in machine. learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business.
- Shape the MLE role and uplevel MLE talents in the org.
- 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
- 10+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production.
- Master’s degree in Computer Science, Engineering, Mathematics or related field
- Strong problem-solving skills, with expertise in ML methodologies
- Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems
- 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
- PhD degree in Computer Science, Engineering, Mathematics or related field
- Familiarity with multi-task learning, LLMs and anomaly detection
- Fraud domain knowledge
Responsibilities
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 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.
About UsReady 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.
Skills Required
- 10+ years of industry experience developing classical and deep learning models and shipping machine learning solutions to production
- Master's degree in Computer Science, Engineering, Mathematics, or a related field
- Strong problem-solving skills and expertise in machine learning methodologies
- Experience applying machine learning, statistics, or optimization techniques to large-scale real-world problems
- Industry experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX
- Experience with complex data pipelines and programming languages such as Python, Spark SQL, Presto, Go, or Java
- PhD in Computer Science, Engineering, Mathematics, or a related field
- Familiarity with multi-task learning, large language models, and anomaly detection
- Fraud domain knowledge
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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