ML Engineer, Context Integration

Remote Full-time
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 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 ResponsibilitiesDesigning and building ML pipelines capable of performing flexible, real-time inference with multiple input streamsDeploying custom or off-the-shelf state-of-the-art models for parsing audio, video, and application statesPerforming context engineering to aggregate and model contextual information for use in downstream decodersModel dissection and interpretability to extract information-rich latent representations from large models (e.g. pretrained LLMs) for broad and generalized use in other modelsModel miniaturization for low-latency and computationally inexpensive processingWorking collaboratively within a small team to explore and iterate on models, design the company's data-science platforms, and integrate ML models into product applicationsMaintaining 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 working with speech-recognition models and LLMsExperience deploying ML models in an industry settingProficiency in Python and PyTorchProficiency in using GPUs and GPU software toolkits to accelerate ML pipelinesPreferred QualificationsExperience working with high-dimensional time-series datasetsExperience working on medical or clinical applicationsExperience with video-processing and application-parsing modelsExperience developing foundation models and applying transfer-learning techniquesWhat 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.ConfidentialityAll applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.

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