ML Engineer - Distributed AI Systems & Research Tools

Noetik Ltd; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible PTO

Health, dental, and vision coverage

401(k) match

Stock options

Parental leave

Job summary

Noetik Ltd is seeking talented engineers to advance AI research infrastructure in the United States. You will design and optimize distributed training and batch inference systems, and build researcher-facing CLIs and SDKs to accelerate experimentation.

We value performers who can scale GPU workloads and streamline data pipelines, enabling rapid, robust experimentation across oncology-focused foundation models. Join a hybrid team delivering impactful AI infrastructure.

Qualifications

• Experience designing and evolving distributed training or batch inference systems.
• Proven ability to optimize GPU utilization and data pipelines for performance.
• Proficiency in building researcher-facing CLIs and SDKs for experimentation.

Responsibilities

• Design and evolve distributed training and batch inference systems.
• Optimize GPU utilization and data pipelines for performance.
• Build researcher-facing CLIs and SDKs for experimentation.

Skills

Distributed systems

GPU optimization

Data pipelines

CLI tooling

SDK development

Job description

Noetik Ltd is seeking talented engineers to advance AI research infrastructure in the United States. You will design and optimize distributed training and batch inference systems, and build researcher-facing CLIs and SDKs to accelerate experimentation.

We value performers who can scale GPU workloads and streamline data pipelines, enabling rapid, robust experimentation across oncology-focused foundation models. Join a hybrid team delivering impactful AI infrastructure.