MLOps Engineer for AI Model Training

Be at the forefront of the AI revolution by joining a leading AI lab''s GenAI team, where your expertise will contribute to the development of advanced Large Language Models. This role offers the opportunity to build foundational AI models from the ground up, focusing on MLOps tasks and solutions that generate high-quality training data for cutting-edge AI systems.

• Guide research and engineering teams to bridge knowledge gaps and enhance AI model performance in MLOps, training infrastructure, and ML framework-level topics.
• Design challenging, domain-relevant tasks, and write accurate, well-structured solutions to MLOps and ML systems problems.
• Evaluate MLOps tasks and solutions, providing 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 40 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, offering a full-time engagement of 40 hours per week, with no conflicts or other engagements.

Hourly compensation ranges from $70 to $110.

Applicants must be eligible to work in the United States and be able to commit to the required hours.