Job description

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.

Requirements

Must-haves

Company Overview
Team Culture
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
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

Nice-to-haves

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

Application prep

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Benefits

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401(K)