Edge ML Engineer — Scalable Training & Edge Deployment

AgileGrid Solutions; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Remote-first

401(k)

Unlimited PTO

IT stipend

Job summary

EdgeRunner AI, Inc. seeks a foundational member of the EdgeRunner Research organization to build core infrastructure, libraries, and data pipelines that support our advanced AI models and data processing pipelines for secure, high-performance edge systems.

The ideal candidate will have extensive experience building scalable data processing, distributed training environments, and complex training architectures such as distillation and reinforcement learning.

Qualifications

• Active TS/SCI clearance and U.S. citizenship required.
• Experience building scalable data processing or distributed training systems.
• Knowledge of distillation, reinforcement learning, quantization, and model evaluation.

Responsibilities

• Design and implement scalable data pipelines for acquisition and processing.
• Develop distributed model training frameworks for edge deployments.
• Create training architectures such as distillation and RL gyms.
• Perform large-scale evaluations and optimize quantization/compression.

Skills

Data pipelines

Distributed training

Edge deployment

Kernel development

Quantization

Model optimization

Tools

Git

Linux

CUDA

Docker

Job description

EdgeRunner AI, Inc. seeks a foundational member of the EdgeRunner Research organization to build core infrastructure, libraries, and data pipelines that support our advanced AI models and data processing pipelines for secure, high-performance edge systems.

The ideal candidate will have extensive experience building scalable data processing, distributed training environments, and complex training architectures such as distillation and reinforcement learning.