Echo Neurotechnologies

Implantable brain-computer interface enabling communication

Applied AI Scientist

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

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

Responsibilities

Model brain data and associated metadata to obtain insights into existing and future datasets, and implement high-performance inference and translation pipelines.
Design and create state-of-the-art transformers and other machine learning models to decode brain signals into control signals for digital devices.
Keep up with the latest AI techniques and quickly assess their relevance and utility, including through prototypical evaluations with company datasets.
Collaborate within a small team to explore and iterate on models, design the company's data-science platforms, and integrate machine learning models into product applications.
Maintain versioned, clear, and well-documented code, analysis pipelines, and results to maximize interpretability and reproducibility.
Contribute to Quality Management System documentation as appropriate and relevant to machine learning implementations that become part of medical products.

Desired Qualifications

Experience working on medical or clinical applications.
Experience translating methods described in scientific publications to available datasets.

Company Overview

Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.

Team Culture

Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.

Job Summary

We are seeking an experienced Applied AI Scientist to join our team. The person who fills this role will apply ML & AI principles and practices to large datasets of time-series data and associated metadata to create powerful encoding and decoding models to interpret and understand brain activity, which will drive scientific discovery as well as product implementations to have real-world impact on patients with physical disabilities.

Key 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

Required 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

Preferred Qualifications

Experience working on medical or clinical applications
Experience translating methods described in scientific publications to available datasets

What We Offer

An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.
Competitive compensation, including stock options.
Comprehensive benefits package.
401(k) program with matching contributions.

Equal Opportunity Employer

Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.

Confidentiality

All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.

About the Company

Echo Neurotechnologies

Implantable brain-computer interface enabling communication

Echo Neurotechnologies creates brain-computer interfaces (BCIs) aimed at helping people with severe neurological disabilities regain abilities such as conversational communication. Its main product is an implantable BCI system that surgically places electrodes on the brain to record neural signals, which are then decoded by software (potentially using AI) to control external devices or generate speech through a digital avatar. This makes it possible for users to interact with computers or robotic limbs by thinking. The company differentiates itself through leadership from Dr. Edward Chang and a focus on clinically translating BCIs for restoration of communication and movement, backed by venture funding from Andreessen Horowitz and a plan to move toward commercialization in a field with players like Neuralink and Synchron. The goal is to bring therapeutic neural implants to patients, enabling restored communication and mobility for those with severe paralysis.

Company size: Not listed
Company stage: Late Stage VC
Total funding: $50M
Headquarters: San Francisco, CA
Founded: 2023

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