Remote Edge ML Engineer — Distributed Training & Kernels

EdgeRunner AI, Inc.; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Health, dental, and vision for员工

Remote-first culture

401K program

Unlimited PTO

IT stipend

Job summary

EdgeRunner AI is seeking a senior AI/ML engineer to build the foundations of the EdgeRunner Research organization, including code for data acquisition, processing, evaluation, and parallelization.

You will develop high-performance kernels, low-loss quantization, and compression techniques for edge deployment, owning codebases in distributed training environments, specialized RL gyms, or large-scale evaluations.

Qualifications

• Experience building libraries and owning codebases in data processing or distributed training.
• Independent contributor in a fast-paced startup environment.
• Eligibility for TS/SCI clearance; U.S. citizenship required.

Responsibilities

• Build the foundations of the EdgeRunner Research organization, including code for data acquisition, processing, evaluation, and parallelization.
• Develop high-performance kernels, low-loss quantization, and compression techniques for edge deployment.
• Own codebases in distributed training environments, specialized RL gyms, or large-scale evaluations.

Skills

Libraries ownership

Distributed training

Edge deployment

Independent work

Job description

EdgeRunner AI is seeking a senior AI/ML engineer to build the foundations of the EdgeRunner Research organization, including code for data acquisition, processing, evaluation, and parallelization.

You will develop high-performance kernels, low-loss quantization, and compression techniques for edge deployment, owning codebases in distributed training environments, specialized RL gyms, or large-scale evaluations.