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.

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.

PRIMARY ROLE AND 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

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

OTHER 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 Opportunity Employer

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

Confidentiality

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