MLOps Engineer for AI Model Training

Build and optimize training pipelines, kernel-level components, and evaluation artifacts that support state-of-the-art large language models. In this hands-on role you will author and assess MLOps tasks and solutions to produce high-quality training data, guide research and engineering teams on framework-level and infrastructure decisions, and create evaluation rubrics that improve model training and systems performance.

• Perform AI model training and evaluation work, including designing tasks and writing solutions that become training data for frontier AI systems.
• Guide research and engineering teams to close knowledge gaps in MLOps, training infrastructure, and ML framework internals.
• Design challenging, domain-relevant MLOps and ML systems tasks and produce accurate, well-structured solutions.
• Evaluate submitted tasks and solutions, providing clear, written technical feedback.
• Develop guidelines, detailed rubrics, and evaluation frameworks that assess training pipeline design, distributed systems reasoning, and kernel-level optimization.
• Collaborate with other subject matter experts to ensure consistency and technical accuracy across training data and evaluations.

• Minimum 2 years of professional experience in ML infrastructure, MLOps, or ML systems engineering, preferably at a recognized, top-tier organization.
• Production experience with JAX and/or PyTorch at scale.
• Experience writing or optimizing custom GPU kernels using Pallas for JAX or Triton.
• Demonstrable career progression in ML systems or infrastructure roles.
• Strong written communication skills, with the ability to explain complex technical decisions clearly in writing.
• Ability to engage reliably for at least 40 hours per week during weekdays, with no other engagements or conflicts.

W-2 employment with Cincinnatus LLC, serving as the employer of record and placing you within a leading AI lab as part of their extended workforce. This is an hourly, full-time engagement requiring 40 hours per week, scheduled on weekdays. Candidates must not hold other engagements that conflict with the 40-hour commitment. Location: United States.

Hourly rate range: 70 to 110 per hour.

Cincinnatus LLC will be the employing organization, providing payroll, benefits, and compliance as the employer of record while placing employees directly on client teams. Cincinnatus is an equal opportunity employer and does not discriminate based on legally protected characteristics.