Staff Software Engineer - Backend (Machine Learning)

$218,000 - $242,000/Yr

Uber - San Francisco, CA

Full-time - Senior

Remote - San Francisco, CA

5,001-10,000 employees

Transit and Ground Passenger Transportation

About the position

Uber is seeking a Staff Software Engineer specializing in backend development with a focus on machine learning (ML) to enhance the developer experience and improve the quality of applications through innovative end-to-end testing solutions. This role involves collaborating with cross-functional teams to build scalable ML infrastructure and mentoring junior engineers to foster a culture of continuous improvement.

Responsibilities

• Collaborate with cross-functional teams to define and develop key features that enhance developer workflows and quality.
• Design and implement robust backend ML infrastructure that supports scalability, reliability, and performance for quality testing.
• Create scalable architectures that meet current needs and are adaptable for future growth.
• Define and drive ML backend solutions for end-to-end testing.
• Mentor and guide junior engineers, promoting a culture of learning and improvement.

Requirements

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 10+ years of experience in systems software engineering with a solid understanding of computer architecture and fundamentals.
• Proficiency in Java, Go, or Python programming languages.
• Strong problem-solving skills with knowledge of algorithms, data structures, and complexity analysis.
• Ability to work comfortably with ambiguity in a constantly evolving environment.

Nice-to-haves

• Experience working on ML platforms or ML products.
• Expertise in Machine Learning, Artificial Intelligence, and Large Language Models.
• Background in high-load distributed systems.
• Familiarity with cutting-edge tools in the Generative AI space.
• Demonstrated ability to collaborate effectively with a globally distributed team.

Benefits

• Participation in Uber's bonus program.
• Eligibility for equity awards and other compensation types.
• Various health and wellness benefits.