Applied AI Scientist, Language & Context

Applied AI Scientist, Language & Context 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, 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 RESPONSIBILITIES - Language modeling - Leverage a deep understanding of LMs to create custom solutions for brain-computer interface applications, including LLM fine-tuning, customization, and dissection - Explore a variety of LM strategies of various scales and complexities for tailored integration into other decoding pipelines - Characterize agentic AI tools for suitability in product user interfaces - Context modeling - Design and build ML pipelines capable of performing flexible, real-time inference with multiple input streams - Deploy custom or off-the-shelf state-of-the-art models for parsing audio, video, and application states - Perform context engineering to aggregate and model contextual information for use in downstream decoders - General ML practices & company standards - Model dissection and interpretability to extract information-rich latent representations from large models (e.g. pretrained foundation models) for broad and generalized use in other models - Model miniaturization for low-latency and computationally inexpensive processing - Work collaboratively and effectively within a small, cross-functional team to hit both R&D and product-focused goals - Maintain 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 deploying ML models in an industry setting - Experience designing, developing, and deploying LM models in an industry setting - Experience designing, training, and evaluating transformers - Proficiency in Python and PyTorch - Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines PREFERRED QUALIFICATIONS - Experience working with reinforcement learning, LLM alignment and safety, and multilingual modeling - Experience developing foundation models and applying transfer-learning techniques - Experience working with high-dimensional time-series datasets - Experience working on medical or clinical applications - Experience translating methods described in scientific publications to available datasets - Experience working with speech-recognition, video-processing, and application-parsing models 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 ... (truncated, view full listing at source)