Senior ML Infrastructure Engineer Build Scalable AI Pipelines

well-funded deeptech startup; California (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

A well-funded deeptech startup in California is seeking a Senior ML Infrastructure Engineer. The ideal candidate will have a strong background in machine learning and experience with containerization systems like Kubernetes and Docker. This role involves building software components to solve real-world ML challenges and requires excellent debugging and analytical skills.

Join a team that thrives on high-performance computing and autonomous system development. If you’re passionate about machine learning and technology, we’d love to speak with you.

Qualifications

• Proven background applying machine learning approaches using rich data.
• Strong understanding of machine learning foundations.
• Experience with cloud data processing technologies.

Responsibilities

• Building software components to address real-world machine learning challenges.
• Leading, developing, and managing containerization systems.
• Debugging and analytical problem-solving.

Skills

Machine Learning

Docker

Kubernetes

PyTorch

Tensorflow

Cloud Data Processing

Analytical Skills

Job description

A well-funded deeptech startup in California is seeking a Senior ML Infrastructure Engineer. The ideal candidate will have a strong background in machine learning and experience with containerization systems like Kubernetes and Docker. This role involves building software components to solve real-world ML challenges and requires excellent debugging and analytical skills.

Join a team that thrives on high-performance computing and autonomous system development. If you’re passionate about machine learning and technology, we’d love to speak with you.