Senior ML Infrastructure Engineer for Neuro ML Platform

echo inc.; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Stock options

Competitive compensation

401(k) program with matching

Comprehensive benefits package

Job summary

Echo Neurotechnologies is seeking a Senior Machine Learning Infrastructure Engineer to design, build, and scale ML infrastructure powering data, modeling, and analysis platforms for neuroscience research.

You will own the ML R&D platform, architect new cloud infrastructure, data pipelines, and modeling flows to enable cutting-edge neural decoding and brain-computer interface development.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• Experience with large-scale data infrastructure and ML systems.
• Strong Python programming and collaboration with research teams.

Responsibilities

• Design and build ML cloud infrastructure for massive-scale modeling and analytics.
• Support diverse model exploration and optimization processes.
• Design scalable distributed training pipelines with model sharding and cross-GPU communication.
• Operate and maintain robust ML platforms across the model lifecycle.
• Collaborate with domain experts to productionize workflows.

Skills

Python

PyTorch

Distributed training

Transformers

Data pipelines

Collaboration

Communication

Education

Bachelor’s degree in CS/EE

MS/PhD preferred

Tools

Kubernetes

Docker

CUDA

Go

Rust

Java

Job description

Echo Neurotechnologies is seeking a Senior Machine Learning Infrastructure Engineer to design, build, and scale ML infrastructure powering data, modeling, and analysis platforms for neuroscience research.

You will own the ML R&D platform, architect new cloud infrastructure, data pipelines, and modeling flows to enable cutting-edge neural decoding and brain-computer interface development.