GenAI ML Systems Engineer — MLOps & GPU Kernel Expert

Obsidian; New York (NY); Remote; USD 90,000 - 130,000; Full time

Job summary

Obsidian is seeking an MLOps Engineer to join their AI lab's cutting-edge GenAI team in New York. This full-time role involves training and evaluating advanced AI models using PyTorch and kernel-level programming.

The ideal candidate should have 2+ years of experience in ML infrastructure, with skills in custom GPU kernel optimization. This position offers a chance to be at the forefront of AI innovation with a full-time commitment to a 40-hour workweek.

Qualifications

• 2+ years of dedicated experience in ML infrastructure or MLOps.
• Hands-on production experience with PyTorch at scale.
• Experience writing or optimizing custom GPU kernels.

Responsibilities

• Guide teams to improve AI model performance in MLOps.
• Design and write solutions to MLOps challenges.
• Evaluate MLOps tasks and provide technical feedback.
• Develop guidelines for training pipelines and optimization.
• Collaborate with experts for data consistency.

Skills

ML infrastructure

MLOps

PyTorch

Kernel-level programming

Custom GPU kernels

Job description

Obsidian is seeking an MLOps Engineer to join their AI lab's cutting-edge GenAI team in New York. This full-time role involves training and evaluating advanced AI models using PyTorch and kernel-level programming.

The ideal candidate should have 2+ years of experience in ML infrastructure, with skills in custom GPU kernel optimization. This position offers a chance to be at the forefront of AI innovation with a full-time commitment to a 40-hour workweek.