GenAI MLOps Engineer & AI Training Systems

Obsidian; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Obsidian is seeking MLOps Engineers to join their innovative GenAI team. This full-time position involves building foundational AI models, training, and evaluating AI systems while providing feedback and developing evaluation frameworks.

The ideal candidate has 2+ years of experience in ML infrastructure and hands-on skills with PyTorch, along with the ability to engage consistently for 40 hours a week.

Qualifications

• 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized organization.
• Hands-on production experience with PyTorch at scale.
• Experience writing or optimizing custom GPU kernels using Triton or Pallas.

Responsibilities

• Guide research and engineering teams to improve AI model performance.
• Design domain-relevant tasks and write solutions to MLOps problems.
• Evaluate MLOps tasks and provide technical feedback.
• Develop guidelines for assessing training pipeline design.
• Collaborate with subject matter experts for training data consistency.

Skills

Experience in ML infrastructure

Hands-on production experience with PyTorch

Knowledge of GPU kernels (Triton/Pallas)

Strong written communication skills

Job description

Obsidian is seeking MLOps Engineers to join their innovative GenAI team. This full-time position involves building foundational AI models, training, and evaluating AI systems while providing feedback and developing evaluation frameworks.

The ideal candidate has 2+ years of experience in ML infrastructure and hands-on skills with PyTorch, along with the ability to engage consistently for 40 hours a week.