Applied AI Scientist, Language & Context

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, with a focus on language & context modeling, to join our team. The person who fills this role will apply ML/AI principles and practices to designing, developing, fine-tuning, personalizing, and miniaturizing flexible language and context models for use within brain-computer interface applications to have real-world impact on patients with physical disabilities.Key ResponsibilitiesLanguage modelingLeverage a deep understanding of LMs to create custom solutions for brain-computer interface applications, including LLM fine-tuning, customization, and dissectionExplore a variety of LM strategies of various scales and complexities for tailored integration into other decoding pipelinesCharacterize agentic AI tools for suitability in product user interfacesContext modelingDesign and build ML pipelines capable of performing flexible, real-time inference with multiple input streamsDeploy custom or off-the-shelf state-of-the-art models for parsing audio, video, and application statesPerform context engineering to aggregate and model contextual information for use in downstream decodersGeneral ML practices & company standardsModel dissection and interpretability to extract information-rich latent representations from large models (e.g. pretrained foundation models) for broad and generalized use in other modelsModel miniaturization for low-latency and computationally inexpensive processingWork collaboratively and effectively within a small, cross-functional team to hit both R&D and product-focused goalsMaintain versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibilityContribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical productsRequired QualificationsBachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative fieldA minimum of 5 years of combined academic and professional ML experienceExperience deploying ML models in an industry settingExperience designing, developing, and deploying LM models in an industry settingExperience designing, training, and evaluating transformersProficiency in Python and PyTorchProficiency in using GPUs and GPU software toolkits to accelerate ML pipelinesPreferred QualificationsExperience working with reinforcement learning, LLM alignment and safety, and multilingual modelingExperience developing foundation models and applying transfer-learning techniquesExperience working with high-dimensional time-series datasetsExperience working on medical or clinical applicationsExperience translating methods described in scientific publications to available datasetsExperience working with speech-recognition, video-processing, and application-parsing modelsWhat 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.Confidentiality