MLOps Engineer at Mercor

MLOps Engineer | $100–140/hr | Remote (US) | Full-Time W-2

Join a leading AI lab's cutting-edge GenAI team and play a central role in building foundational AI models from the ground up. This is a full-time, 40-hour/week W-2 engagement through Cincinnatus LLC, placing you directly within an elite AI lab's extended workforce.

Key Responsibilities

• Guide research and engineering teams to close knowledge gaps and improve AI model performance across 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 and detailed written technical feedback.
• Develop guidelines and evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization.
• Collaborate with subject matter experts to ensure consistency and accuracy in AI training data.

Core Qualifications

• 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 in ML engineering roles.
• Availability for a reliable 40-hour/week commitment during weekdays — no other concurrent engagements.
• Strong written communication skills with the ability to explain complex technical decisions clearly.

About Cincinnatus LLC

Cincinnatus LLC is an enterprise staffing company partnering with leading technology companies to place highly skilled professionals in high-impact contract roles. Cincinnatus serves as the employer of record, providing W-2 employment, payroll, benefits, and compliance support.

Cincinnatus LLC is an Equal Employment Opportunity employer and does not discriminate on the basis of race, religion, gender, age, disability, veteran status, or any other legally protected characteristic.