ML Engineer, Context Integration

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 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.

Key Responsibilities

• 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

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 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

Preferred Qualifications

• 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

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.