Remote MLOps Engineer (JAX/PyTorch + GPU Kernels)

Weekday 1; United States; Remote; USD 200,579,000 - 314,313,000; Full time

Job summary

Weekday 1 is seeking an experienced MLOps Engineer to join a cutting-edge AI research initiative focused on Generative AI and frontier LLMs. You will work with JAX, PyTorch, and custom GPU kernel programming to design and evaluate complex ML infrastructure tasks.

This is a fully remote, 40-hour-per-week engagement offering collaboration with AI researchers and engineers to advance model reasoning and training pipelines.

Qualifications

• Minimum 2 years of professional experience in MLOps, ML infrastructure, or ML systems engineering.
• Hands-on production experience with JAX and/or PyTorch in large-scale ML environments.
• Experience developing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
• Strong understanding of distributed training systems, model optimization, and scalable ML infrastructure.
• Availability to work 40 hours per week during standard weekday business hours.
• Excellent written communication skills with the ability to clearly explain technical concepts and architectural decisions.

Responsibilities

• Partner with research and engineering teams to strengthen AI model capabilities in MLOps, ML infrastructure, and large-scale training systems.
• Design challenging, real-world MLOps and machine learning systems tasks that reflect production engineering scenarios.
• Develop accurate, well-documented solutions to complex ML infrastructure and training pipeline problems.
• Review and evaluate technical tasks and AI-generated solutions, providing clear and actionable written feedback.
• Create detailed evaluation rubrics and scoring frameworks for topics including: Distributed training architectures, ML pipeline design, Infrastructure optimization, Kernel-level programming, Performance tuning.
• Collaborate with fellow subject matter experts to maintain consistency, quality, and technical accuracy across training datasets.
• Contribute domain expertise to improve the reasoning capabilities of advanced AI systems.

Skills

JAX

PyTorch

GPU kernel programming

Tools

Pallas (JAX)

Triton

Job description

Weekday 1 is seeking an experienced MLOps Engineer to join a cutting-edge AI research initiative focused on Generative AI and frontier LLMs. You will work with JAX, PyTorch, and custom GPU kernel programming to design and evaluate complex ML infrastructure tasks.

This is a fully remote, 40-hour-per-week engagement offering collaboration with AI researchers and engineers to advance model reasoning and training pipelines.