Machine Learning Infrastructure Engineer

Machine Learning Infrastructure Engineer

Machine Learning Infrastructure Engineer

2 weeks ago Be among the first 25 applicants Senior Software Engineer - ML Infrastructure Engineer – Build the Future of AI

We're seeking experienced

ML Infrastructure Engineers

to develop and optimize the backbone of our machine learning research and data curation pipelines. In this role, you'll help shape our technical direction, collaborating closely with our founders to build scalable, high-performance infrastructure.

What You'll Do:

Architect and maintain highly available GPU workloads for ML training. Troubleshoot and automate GPU, networking, and cloud infrastructure issues. Build and scale the infrastructure behind our data curation product Collaborate with researchers and engineers to bring state-of-the-art ML features to customers. Ensure our systems are secure, reliable, and scalable Tech stack: Python, Linux, Kubernetes, Terraform, Cloud Platforms (AWS and GCP)

Who You Are:

5-15 years of experience in ML infrastructure & platform engineering Expertise in GPU workloads, cloud environments, and scalable infrastructure Passionate about building robust, high-performance AI systems

This would suit an engineer with previous experience on a compute team at a big tech or AI research focused company. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Staffing and Recruiting Referrals increase your chances of interviewing at Capital Markets Placement by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.

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