Senior ML Infrastructure Engineer: Systems and Backend

Uber; Seattle (WA); In loco; USD 232.000 - 258.000; Tempo pieno

Vantaggi offerti da questo lavoro

Bonus program

Equity award

401(k) plan

Benefits

Descrizione del lavoro

Uber is seeking a Staff Software Engineer – ML Infra to architect scalable ML data and backend systems powering the global marketplace. You will own end-to-end delivery, drive low-latency, high-throughput ML pipelines, and mentor engineers across teams.

The role requires 9+ years in ML/Backend, experience with ML frameworks and MLOps, and proficiency with Kubernetes and distributed systems. In-office presence is required for most roles, with equity and bonus eligibility.

Competenze

• 9+ years of experience building ML and backend systems.
• Bachelor's degree in Computer Science, Computer Engineering, or related fields.
• Familiar with modern ML frameworks (PyTorch, TensorFlow).
• Hands-on experience with ML infrastructure, systems, and tools at scale.

Mansioni

• Design and architect long-lasting ML infra components.
• Lead cross-functional efforts with Product, Science, and Ops.
• Mentor engineers and drive engineering excellence.
• Own end-to-end delivery from design to production issues.
• Collaborate to balance latency, correctness, and cost.

Conoscenze

ML systems design

Backend development

MLOps

Kubernetes

Distributed systems

PyTorch

TensorFlow

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Kubernetes

PyTorch

TensorFlow

Data pipelines

Descrizione del lavoro

Uber is seeking a Staff Software Engineer – ML Infra to architect scalable ML data and backend systems powering the global marketplace. You will own end-to-end delivery, drive low-latency, high-throughput ML pipelines, and mentor engineers across teams.

The role requires 9+ years in ML/Backend, experience with ML frameworks and MLOps, and proficiency with Kubernetes and distributed systems. In-office presence is required for most roles, with equity and bonus eligibility.