MLOps Engineer for AI Model Development

Join a leading AI lab''s cutting-edge GenAI team and help build foundational AI models from the ground up. This role offers the opportunity to be at the core of the AI revolution, where your expertise will fuel the development of the most advanced Large Language Models.

• Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
• Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
• Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
• Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

• 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
• Hands-on production experience with JAX and/or PyTorch at scale.
• Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
• Demonstrable career progression.
• Ability to engage reliably for at least 30 hours/week during weekdays.
• Strong written communication skills and the ability to explain complex technical decisions clearly.

This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

Hourly compensation ranges from $100 to $140.

Cincinnatus LLC is an Equal Employment Opportunity employer and does not discriminate based on any legally protected characteristic.