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 ML Engineer to join our team. The person who fills this role will apply ML & AI principles and practices to multimodal models that can flexibly incorporate information from a variety of sources to power product pipelines and have real-world impact on patients with physical disabilities.
Designing and building ML pipelines capable of performing flexible, real-time inference with multiple input streams
Deploying custom or off-the-shelf state-of-the-art models for parsing audio, video, and application states
Performing context engineering to aggregate and model contextual information for use in downstream decoders
Model dissection and interpretability to extract information-rich latent representations from large models (e.g. pretrained LLMs) for broad and generalized use in other models
Model miniaturization for low-latency and computationally inexpensive processing
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 working with speech-recognition models and LLMs
Experience deploying ML models in an industry setting
Proficiency in Python and PyTorch
Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines
Experience working with high-dimensional time-series datasets
Experience working on medical or clinical applications
Experience with video-processing and application-parsing models
Experience developing foundation models and applying transfer-learning techniques
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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