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About the Role

Echo Neurotechnologies is seeking an experienced Senior Machine-Learning (ML) Engineer to apply ML principles to large datasets of time-series data and associated metadata. The goal is to create decoding models and discover new insights to empower individuals with severe physical disabilities to control a computer and communicate effectively.

Responsibilities

• Design and create state-of-the-art ML models for translating time-series data into control signals for computer control and communication.
• Perform feature engineering on existing and future data to discover richer representations of the datasets.
• Ensure robustness of the decoding models and pipeline for product deployment in real-world scenarios.
• Incorporate existing advanced AI tools (e.g. LLMs) into research workflows.
• Assist in designing cloud-based ML systems and data structures for large-scale operational pipelines and data-science platforms.
• Collaborate within a small team to address ML needs of the products, including assisting in the integration of ML models into product applications.
• Work independently to achieve ML milestones in a timely fashion without micro-management.
• Follow proper coding practices to create and maintain reproducible, clear, and highly documented code.
• Contribute to documentation for a Quality Management System, as appropriate and relevant to ML implementations that become part of medical products.

Requirements

• Extensive experience and demonstrated proficiency in ML applications, particularly those involving time-series data.
• Experience working on projects related to medical or clinical applications.
• Highly motivated to work on fast-paced projects that will positively impact patient quality of life.
• Ability to communicate clearly and effectively and enjoy working closely as part of a small team.
• Bachelor's or Master's degree in Math, Engineering, Data Science, or other relevant quantitative fields.
• Minimum of 5 years of combined academic and professional ML experience.
• Proficiency in Python and either tensorflow or pytorch (pytorch is preferred).
• Proficiency in using GPUs and GPU software toolkits to accelerate ML pipelines.
• PhD in a relevant quantitative field (preferred).
• Both academic and industry ML experience (preferred).
• Publication history in ML-related academic projects (preferred).
• Experience working with time-series data from human participants or other physiological time-series data (preferred).

Skills

• Machine Learning
• Time-series data analysis
• Feature engineering
• AI tools (e.g. LLMs)
• Cloud-based ML systems
• Data structures
• ML model integration
• Python
• TensorFlow
• PyTorch
• GPU usage
• GPU software toolkits

Experience Level

• Senior
• Minimum of 5 years of combined academic and professional ML experience

Education Level

• Bachelor's degree
• Master's degree
• PhD (preferred)

Salary/Compensations

• $170,000—$220,000 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.