Neural Data Scientist — Brain-Interface AI

echo inc.; San Francisco (CA); On-site; USD 190,000 - 240,000; Full time

Benefits offered by this job

Stock options

Comprehensive benefits package

401(k) program with matching

Job summary

Echo Neurotechnologies is seeking an experienced Applied AI Scientist to apply ML/AI to large time-series datasets and metadata to build encoding/decoding models that interpret brain activity. These models will drive scientific discovery and product implementations with real-world impact for patients with disabilities.

The role involves designing transformers and ML systems to decode brain signals into device control signals, collaborating in a small team, and ensuring reproducible results with

Qualifications

• Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field.
• A minimum of 5 years of combined academic and professional ML experience.
• Experience designing, developing, and deploying ML models in an industry setting with large-scale, distributed ML platforms.
• Experience designing, training, and evaluating transformers.
• Experience working with high-dimensional time-series data, state-space models, or foundation models.
• Proficiency in Python and PyTorch.
• Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines.

Responsibilities

• Modeling brain data and associated metadata to obtain insights into existing and future datasets and implement high-performance inference and translation pipelines.
• Designing and creating state-of-the-art transformers and other ML models to decode brain signals into control signals for digital devices.
• Keeping up with the latest AI techniques and being able to quickly assess the relevance and utility of these techniques, including with prototypical evaluations with company datasets.
• Working collaboratively within a small team to explore and iterate on models, design the company's data-science platforms, and integrate ML models into product applications.
• Maintaining versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility.
• Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products.

Skills

Python

PyTorch

GPU acceleration

Time-series ML

Education

Bachelor's degree in Math, Engineering, Data Science, or related field

Master's degree in Math, Engineering, Data Science, or related field

Tools

GPUs toolkits

Job description

Echo Neurotechnologies is seeking an experienced Applied AI Scientist to apply ML/AI to large time-series datasets and metadata to build encoding/decoding models that interpret brain activity. These models will drive scientific discovery and product implementations with real-world impact for patients with disabilities.

The role involves designing transformers and ML systems to decode brain signals into device control signals, collaborating in a small team, and ensuring reproducible results with