Machine Learning Platform Engineer (Fully Remote)

Not Specified; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Not Specified is seeking an engineer to build and operate ML infrastructure powering AI products. You will shape platforms for training, evaluation, deployment, inference and experimentation.

You will design scalable systems for model serving, with an emphasis on high throughput, low latency, reliability, and cost efficiency, collaborating with full-stack and data teams. The role requires strong software engineering fundamentals and hands-on experience with production ML systems.

Qualifications

• ML/AI experience required.
• Strong software engineering fundamentals required.
• Experience building ML infrastructure or production ML systems.

Responsibilities

• Build and operate ML infrastructure and platforms powering AI products.
• Design systems for model training, evaluation, deployment, inference, and experimentation.
• Build and optimize model serving and inference infrastructure for high-throughput and low-latency workloads.

Skills

ML/AI experience

Software engineering

Production ML systems

Tools

Kubernetes

Docker

Job description

• Build and operate the ML infrastructure and platforms powering AI products.
• Design systems for model training, evaluation, deployment, inference, and experimentation.
• Build and optimize model serving and inference infrastructure for high-throughput and low-latency workloads.

Outcomes:

• AI infrastructure reliably supports production workloads at scale.
• Models can be trained, evaluated, deployed, and improved efficiently.
• Inference systems deliver strong latency, throughput, reliability, and cost efficiency.

Qualifications:

• ML and AI experience are required.
• Strong software engineering fundamentals and experience building production systems.
• Experience building ML infrastructure, platforms, or production ML systems.