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Applied AI Scientist @ Echo

San FranciscoRemoteFull-timePosted 295 days ago

Opens on ashby

About this role

Company OverviewEcho 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 CultureJoin 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 SummaryWe 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 ResponsibilitiesModeling 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 QualificationsBachelor'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 QualificationsExperience working on medical or clinical applications

Experience translating methods described in scientific publications to available datasets

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

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

Skills

EngineeringEngineering - Product

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