Applied AI Scientist, Language + Context

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<div class="content-intro"><h2 data-pm-slice="1 1 []">Company Overview</h2>
<p>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.</p>
<p>&nbsp;</p>
<h2>Team Culture</h2>
<p>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.</p></div><h2>SUMMARY</h2>
<p>We are seeking an experienced Applied AI Scientist, with a focus on language &amp; 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.</p>
<h2>PRIMARY ROLE AND RESPONSIBILITIES</h2>
<ul>
<li>Language modeling
<ul>
<li>Leverage a deep understanding of LMs to create custom solutions for brain-computer interface applications, including LLM fine-tuning, customization, and dissection</li>
<li>Explore a variety of LM strategies of various scales and complexities for tailored integration into other decoding pipelines</li>
<li>Characterize agentic AI tools for suitability in product user interfaces</li>
</ul>
</li>
<li>Context modeling
<ul>
<li>Design and build ML pipelines capable of performing flexible, real-time inference with multiple input streams</li>
<li>Deploy custom or off-the-shelf state-of-the-art models for parsing audio, video, and application states</li>
<li>Perform context engineering to aggregate and model contextual information for use in downstream decoders</li>
</ul>
</li>
<li>General ML practices &amp; company standards
<ul>
<li>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</li>
<li>Model miniaturization for low-latency and computationally inexpensive processing</li>
<li>Work collaboratively and effectively within a small, cross-functional team to hit both R&amp;D and product-focused goals</li>
<li>Maintain versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility</li>
<li>Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products</li>
</ul>
</li>
</ul>
<p>&nbsp;</p>
<h2>QUALIFICATIONS</h2>
<ul>
<li>Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field</li>
<li>A minimum of 5 years of combined academic and professional ML experience</li>
<li>Experience deploying ML models in an industry setting</li>
<li>Experience designing, developing, and deploying LM models in an industry setting</li>
<li>Experience designing, training, and evaluating transformers</li>
<li>Proficiency in Python and PyTorch</li>
<li>Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines</li>
</ul>
<h2>&nbsp;OTHER QUALIFICATIONS</h2>
<ul>
<li>Experience working with reinforcement learning, LLM alignment and safety, and multilingual modeling</li>
<li>Experience developing foundation models and applying transfer-learning techniques</li>
<li>Experience working with high-dimensional time-series datasets</li>
<li>Experience working on medical or clinical applications</li>
<li>Experience translating methods described in scientific publications to available datasets</li>
<li>Experience working with speech-recognition, video-processing, and application-parsing models</li>
</ul><div class="content-conclusion"><h2 data-pm-slice="1 1 []">What We Offer</h2>
<ul>
<li>
<p>An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.</p>
</li>
<li>
<p>Competitive compensation, including stock options.</p>
</li>
<li>
<p>Comprehensive benefits package.</p>
</li>
<li>
<p>401(k) program with matching contributions.</p>
</li>
</ul>
<p>&nbsp;</p>
<h2>Equal Opportunity Employer</h2>
<p>Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.</p>
<p>&nbsp;</p>
<h2>Confidentiality</h2>
<p>All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.</p></div>

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