Senior ML Infrastructure Engineer - GPU Training & MLOps

Cssmerge; San Francisco (CA); On-site; USD 224,000 - 280,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

401(k)

Equity awards

Unlimited Flexible Time Off

Team lunch every Tuesday and Thursday

Job summary

Cssmerge is seeking a foundational Machine Learning Infrastructure Engineer based in San Francisco. You will design ML training infrastructure, scale distributed GPU workloads, and collaborate with researchers. This role offers an ambitious challenge in automating the physical world.

The salary range is $224,000 - $280,000 per year, and includes benefits like medical insurance, 401(k), and unlimited flexible time off. Join us to drive real progress in industry automation!

Qualifications

• 8+ years of professional software engineering experience.
• Proficiency in Go, Python, Java, or similar.
• Experience with Kubernetes and building cloud-agnostic environments.

Responsibilities

• Design and build large-scale ML training infrastructure.
• Implement Kubernetes for GPU training of neural networks.
• Optimize data ingestion pipelines for training environments.

Skills

Backend systems programming

Kubernetes

Distributed ML compute frameworks

MLOps pipelines

Data engineering

Job description

Cssmerge is seeking a foundational Machine Learning Infrastructure Engineer based in San Francisco. You will design ML training infrastructure, scale distributed GPU workloads, and collaborate with researchers. This role offers an ambitious challenge in automating the physical world.

The salary range is $224,000 - $280,000 per year, and includes benefits like medical insurance, 401(k), and unlimited flexible time off. Join us to drive real progress in industry automation!