Uber

Senior Staff Machine Learning Engineer - Core Services Engineering

Uber$267K — $297K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of industry experience in machine learning model development and deployment.
  • Master's degree in Computer Science, Engineering, Mathematics, or related field.
  • Strong problem-solving skills with a focus on ML methodologies.
  • Experience solving large-scale real-world problems using ML, statistics, or optimization techniques.
  • Proficiency in ML frameworks (e.g. Tensorflow, PyTorch, or JAX) and complex data pipelines; programming in Python, Spark SQL, Presto, Go, Java.

Responsibilities

  • Collaborate with product, data science, and engineering leadership to define technical direction.
  • Utilize machine learning and optimization knowledge to create impactful engineering solutions.
  • Influence the scope of the MLE role and mentor other MLEs in the organization.
  • Oversee the complete product lifecycle from ML model pipeline and system design to implementation and rollout.
  • Manage productionization of solutions at scale through teamwork and experimentation.

Benefits

  • Eligibility for Uber's bonus program and potential equity awards.
  • Participation in a 401(k) plan.
  • Access to various employee benefits.
Full Job Description
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


~~ ~~

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 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.

About Uber

Uber Entertainment, Inc. is a privately held video game development company headquartered in beautiful downtown Kirkland, WA. Uber is currently developing Planetary Annihilation, a next generation real time strategy game of epic proportions.

Uber Careers

There has never been a better time to join our global team of Uber professionals—pioneers in the world of transportation and technology. Work you’ll do Join Uber’s industry-leading team to help drive forward the future of mobility and logistics for some of the world’s most dynamic cities and populations. Transform the way the world moves with the brightest minds at Uber, where innovation meets functionality to create solutions for everyday challenges. Lead from a unique position in the marketplace, at the intersection of technology, operational excellence, and user-centric design. Work with a global team of business and technology advisors to help clients and cities navigate their paths towards more efficient and sustainable urban transport solutions. Collaborate with a diverse group of Uber experts worldwide – a team dedicated to rethinking and improving the way the world moves. Introducing the Uber Innovation Hub We are building a market-leading team to pioneer advancements in transportation and logistics, ensuring Uber remains at the forefront of mobility solutions. Do innovative work Join a group of exceptional professionals where your skills in technology, leadership, and creativity can flourish. At Uber, innovation isn’t just a buzzword—it's the core of everything we do. Deliver targeted solutions through a depth and breadth of expertise and innovation that’s second to none, enhancing how cities, companies, and communities connect. Be part of a great team Engage with a wide-ranging technology stack and harness the unparalleled capabilities, global scale, and collective problem-solving skills of our diverse team. Future-proof your career Advance your career with Uber’s commitment to professional growth, offering extensive training, development, and certification support. Go as far as your ambition takes you with limitless job opportunities in a company that’s reshaping the world’s approach to transportation. Explore Uber’s approach to predictive maintenance ensures our fleet remains ready and efficient, reducing downtime and improving service reliability. Our end-to-end mobility solutions are transforming the way cities think about transportation, making Uber a key player in the future of urban mobility. The Uber Leadership and Innovation Alliance Our combined service capabilities, global scale, and joint solution development help overcome challenges and lead transformation in the transportation industry. Clients and cities around the globe look to Uber for new strategies and solutions to drive growth and innovation in the digital era. Stay connected Join Our Team Search open positions that match your skills and interest. We look for passionate, curious, creative, and solution-driven team players ready to redefine the world of mobility. SEARCH UBER JOBS Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who drive at Uber. READ CAREERS BLOG Job Alert Emails Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Uber.
Learn more about Uber
Size
29,300 employees
Market Cap
$48.6 billion
Industry
Net Income
-$6.7 billion
Founded
2009
5 Year Trend
+35.3%
Revenue
$11.1 billion
NASDAQ

Similar Jobs

More Jobs at Uber

More Information Technology Jobs

Find similar Senior Staff Machine Learning Engineer - Core Services Engineering jobs: