Senior ML Infra Engineer: Build Scalable ML Platforms

Uber; San Francisco (CA); On-site; USD 202,000 - 224,000; Full time

Job summary

Uber is seeking a Senior Software Engineer (ML Infra) to architect mission-critical systems powering trust across its global marketplace. You will design scalable ML data and backend infrastructure, ensuring pay accuracy and reliable pricing simulations.

You will lead cross-functional collaborations, mentor engineers, and own end-to-end delivery from design to production. The role emphasizes low latency, high reliability, and scalable ML platforms in a fast-paced environment.

Qualifications

• 6+ years of ML model development experience.
• Familiar with PyTorch or TensorFlow.
• Experience with foundational models/LLMs and production ML infra.

Responsibilities

• System design and architecture to reduce complexity and increase velocity.
• Solve high-impact problems with low latency and high correctness.
• Lead adoption of key frameworks and design reviews across the org.
• Collaborate with Product, Science and Ops to map technical roadmaps.
• Mentor engineers and raise engineering standards.

Skills

ML model development

Foundational models/LLMs

ML algorithms understanding

MLOps & ML Infra

System design

Education

Bachelor's degree in Computer Science/Engineering or related fields

Tools

PyTorch

TensorFlow

Kubernetes

Data pipelines

Job description

Uber is seeking a Senior Software Engineer (ML Infra) to architect mission-critical systems powering trust across its global marketplace. You will design scalable ML data and backend infrastructure, ensuring pay accuracy and reliable pricing simulations.

You will lead cross-functional collaborations, mentor engineers, and own end-to-end delivery from design to production. The role emphasizes low latency, high reliability, and scalable ML platforms in a fast-paced environment.