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Echo Neurotechnologies
San Francisco, California, United States • On-site
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Develop and implement high-performance ML models and transformers to decode brain signals into control signals for digital devices. Collaborate with a small team to design data-science platforms and integrate AI models into medical product applications.
Requires a Bachelor's or Master's degree in a quantitative field and at least 5 years of ML experience. Proficiency in Python, PyTorch, and working with high-dimensional time-series data is essential.
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.
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.
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.
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.
Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.
All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.
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