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About the Role

We are seeking an experienced Applied AI Scientist, with a focus on language & context modeling, to join our team. This role involves applying ML/AI principles to design, develop, fine-tune, personalize, and miniaturize language and context models for brain-computer interface applications, aiming to improve the lives of patients with physical disabilities.

Responsibilities

• 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.
• 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.
• Dissect models and use interpretability techniques to extract information-rich latent representations from large models for broad and generalized use in other models.
• Miniaturize models for low-latency and computationally inexpensive processing.
• Work collaboratively within a small, cross-functional team to achieve R&D and product-focused goals.
• Maintain versioned, clear, and highly documented code, analysis pipelines, and results for interpretability and reproducibility.
• Contribute to documentation for a Quality Management System, as relevant to ML implementations in medical products.

Requirements

• 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.

Skills

• Language modeling
• Context modeling
• LLM fine-tuning
• LM customization
• LM dissection
• Agentic AI tools
• ML pipelines
• Real-time inference
• Model miniaturization
• Model interpretability
• Version control
• Code documentation
• Reinforcement learning
• LLM alignment and safety
• Multilingual modeling
• Foundation models
• Transfer-learning
• High-dimensional time-series datasets
• Speech-recognition
• Video-processing
• Application-parsing models

Location

• Remote

Work Type

• Full-time

Experience Level

• 5+ years of combined academic and professional ML experience

Education Level

• Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative field

Salary/Compensations

• $180,000—$230,000 USD

Benefits

• Competitive compensation, including stock options.
• Comprehensive benefits package.
• 401(k) program with matching contributions.

About the Company

• 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.
• 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.

Equal Opportunity

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