Staff Software Engineer

About the role and team

Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Staff Software Engineer, you will be a technical anchor for the foundational systems that move the world - from building the next generation of orchestration platforms to architecting the stacks that power our global applications. Our mission is to make transportation as reliable as running water, and we need technical powerhouses to build the dependable, high-performance foundation that supports that vision.

This is a role for a proven, large-scale systems thinker who thrives in high-stakes environments. You will navigate the "messy" reality of complex infrastructures spanning global data centers and multiple cloud providers, supporting a diverse variety of workloads. You’ll need to make smart decisions with imperfect information and own the outcomes of global architectural choices. If you lead with clarity, build with heart, and are motivated by the challenge of peak efficiency at unparalleled scale - this is where you’ll make your mark.

Rate of Pay: $264,514 to $284,000 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link

What you’ll do

• Design, develop, and test software applications.
• Design, develop, and/or test software applications using company technology stack.
• Set the long-term technical direction for key investment areas, such as retrieval, ranking, and query understanding.
• Evaluate and apply emerging technologies like generative AI and advanced deep learning to create novel solutions.
• Champion a high bar for scientific rigor, engineering best practices, and overall machine learning quality across all projects.
• Provide expert technical mentorship and leadership to a team of machine learning engineers and scientists.
• Offer guidance on advanced methodologies, including hybrid Machine Learning/LLM approaches, fine-tuning, and multi-LLM ensemble frameworks.
• Foster a culture of technical excellence, continuous learning, and cross-functional collaboration.
• May Telecommute.

Basic Qualifications

• Employer will accept a Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or related field, followed by 5 years of progressive, postbaccalaureate experience in job offered or in a related occupation.
• Position requires:
  • 5 years of experience in developing and deploying machine learning models and algorithms in production environments;
  • Experience in machine learning system architecture and design;
  • Machine learning algorithms, statistical modeling, and modern deep learning approaches;
  • Programming skills in Python and Java, for machine learning deployment;
  • Experience in big data framework including Spark or Hadoop;
  • Algorithms and data structures;
  • MLOps such as model evaluation, deployment, monitoring, and system optimization;
  • Familiar with database including SQL, MySQL, or Presto.

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.