Senior ML Infrastructure Engineer - Build Scale & Trust

Uber; United States; On-site; USD 202,000 - 224,000; Full time

Job summary

Uber is seeking a Senior Software Engineer (ML Data & Backend) to architect mission-critical systems powering trust across our global marketplace. You will design scalable ML infrastructure, lead cross-team initiatives, and mentor engineers, delivering production-ready solutions from design to deployment.

You'll work on low-latency, high-accuracy systems, collaborate with Product, Science, and Ops, and influence architectural decisions at scale. In-office presence is required for most roles.

Qualifications

• 6+ years of experience building developing ML models to solve business problem.
• Bachelor’s degree in Computer Science, Computer Engineering, or related fields.
• Familiar with modern AI/ML frameworks (e.g., PyTorch, Tensorflow).
• Hands-on experience developing foundational models or Large Language Models (LLMs) for user facing applications, marketplace systems, or e-commerce/shopping infrastructures at scale.
• Solid understanding of core machine learning algorithms, their applications, and the underlying systems/infrastructures required to train and serve them.
• Proven track record in MLOps and ML Infrastructure (e.g., container orchestration via Kubernetes, data pipeline design, distributed workflow systems, and large-scale job scheduling).

Responsibilities

• System Design & Architecture: Design and build long-lasting engineering artifacts that reduce complexity and increase developer velocity across the organization.
• Complex Problem Solving: Solve messy, high-impact problems at the intersection of low latency and high correctness.
• Technical Leadership: Lead organization-wide development and adoption of key frameworks while role-modeling coding best practices and high-quality design reviews.
• Cross-Functional Collaboration: Partner closely with Product, Science, and Ops to translate ambiguous business requirements into production-ready technical roadmaps.
• Mentorship & Culture: Mentor and guide other engineers, acting as a technical brand ambassador and raising the bar for engineering excellence across the organization.

Skills

ML infrastructure

Distributed systems

System design

Leadership

Mentorship

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Kubernetes

ML frameworks (PyTorch, TensorFlow)

Job description

Uber is seeking a Senior Software Engineer (ML Data & Backend) to architect mission-critical systems powering trust across our global marketplace. You will design scalable ML infrastructure, lead cross-team initiatives, and mentor engineers, delivering production-ready solutions from design to deployment.

You'll work on low-latency, high-accuracy systems, collaborate with Product, Science, and Ops, and influence architectural decisions at scale. In-office presence is required for most roles.