Senior ML EngineerNew San Francisco

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.

Responsibilities

• Design and create state-of-the-art ML models for translating time-series data into control signals for a computer and for 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
• Work collaboratively 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 being micro-managed
• 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

• 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

Qualifications

Ideal candidates will have:

• Extensive experience and demonstrable proficiency in ML applications, particularly those involving time-series data
• Worked on projects related to medical or clinical applications
• High motivation to work on fast-paced projects that will positively impact patient quality of life
• Strong communication skills and enjoyment working closely as part of a small team

Preferred Qualifications

• PhD in a relevant quantitative field
• Both academic and industry ML experience
• Publication history in ML-related academic projects
• Experience working with time-series data from human participants or other physiological time-series data

Pay

$170,000 - $220,000 USD

Benefits

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