Design and evaluate MLOps engineering tasks for frontier AI systems using JAX, PyTorch, and custom GPU kernels with Pallas or Triton while improving ML infrastructure, distributed training, and AI model evaluation.
MLOps Engineer
United States
$100 – $140/hr
May 23, 2026
Job description
Join a leading AI lab’s GenAI team and contribute to the development of foundational large language models and AI infrastructure systems.
This opportunity is seeking experienced MLOps Engineers with strong expertise in:
- Machine learning infrastructure
- Distributed training systems
- ML framework optimization
- GPU kernel programming
- AI systems engineering
The role focuses on improving AI training infrastructure, ML systems performance, and framework-level optimization using technologies such as JAX, PyTorch, Pallas, and Triton.
This is a W-2 employment position through Cincinnatus LLC, supporting a leading AI laboratory.
Key Responsibilities
Guide research and engineering teams on:
- MLOps workflows
- Training infrastructure
- Distributed ML systems
- Framework-level optimization
Design technically challenging ML systems and infrastructure tasks
Write accurate and well-structured solutions for:
- MLOps engineering problems
- Distributed systems challenges
- Training pipeline optimization
Evaluate MLOps tasks and provide detailed technical feedback
Develop:
- Evaluation rubrics
- ML systems guidelines
- Infrastructure assessment frameworks
focused on:
Distributed training
Training pipelines
Kernel-level optimization
Systems reasoning
Collaborate with subject matter experts to maintain technical quality and consistency across training data
Required Qualifications
- Minimum 2 years of professional experience in:
- MLOps
- ML infrastructure
- ML systems engineering
preferably within top-tier technology organizations.
Hands-on production experience with:
- JAX
- PyTorch
- Distributed ML systems
Experience developing or optimizing GPU kernels using:
- Pallas
- Triton
Demonstrated career progression and technical growth
Ability to commit to:
- 40 hours/week
- Weekday availability
Strong written communication and technical explanation abilities
Employment Details
- W-2 employment through Cincinnatus LLC
- Full-time contingent engagement
- 40-hour weekly schedule
- No conflicting engagements permitted during the contract
About Cincinnatus LLC
Cincinnatus LLC partners with leading technology companies to employ highly skilled professionals for contingent and contract-based technical roles.
The company provides:
- W-2 employment
- Payroll
- Benefits
- Compliance support
while placing professionals within high-impact AI and technology initiatives.
Equal Opportunity
Cincinnatus LLC is an equal opportunity employer and considers qualified applicants regardless of protected status or legally protected characteristics.
Apply now
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