About the job
At Echo Neurotechnologies, we are a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to spearheading advancements through state-of-the-art hardware engineering and AI innovations. Our vision is to create transformative technologies that empower individuals living with disabilities, enhancing their autonomy and overall quality of life.
Team Culture
Become part of a passionate and dedicated team where your expertise is valued. In our dynamic early-stage environment, you will have the chance to influence key decisions that lead to significant, long-term impacts. We prioritize continuous learning and development, encouraging cross-functional collaboration where your contributions play a crucial role in our success.
Job Summary
We are on the lookout for a skilled Applied AI Scientist to join our innovative team. The successful candidate will harness machine learning (ML) and artificial intelligence (AI) methodologies to analyze extensive datasets of time-series data and their accompanying metadata, crafting sophisticated encoding and decoding models to decode brain activity. This work will not only propel scientific advancements but also translate into impactful solutions for patients with physical disabilities.
Key Responsibilities
- Develop models for brain data and metadata to derive insights from both existing and future datasets, establishing high-performance inference and translation pipelines.
- Design and implement cutting-edge transformers and other ML models to translate brain signals into control commands for digital devices.
- Stay abreast of the latest AI methodologies, rapidly evaluating their applicability and effectiveness through prototypical assessments with company datasets.
- Collaborate effectively within a small team to refine models, design the data-science platforms, and integrate ML models into our product applications.
- Ensure that all code, analysis pipelines, and results are versioned, well-documented, and highly interpretable for maximum reproducibility.
- Assist in creating documentation for our Quality Management System, specifically related to ML implementations that will be incorporated into medical products.

