Neuroscience Machine Learning Head

3 weeks ago


Santa Clara, California, United States Precision Neuroscience Full time
About the Opportunity:
We are seeking an experienced Senior Manager / Director Machine Learning to lead our efforts in developing cutting-edge machine learning solutions for brain-computer interface (BCI) applications. This role is crucial to advancing our mission of creating transformative technologies that bridge the gap between the human brain and digital systems. The ideal candidate will possess a deep understanding of modern machine learning and signal processing in biomedical domains, a strong track record of shipping machine-learning based products in the healthcare space, along with strong leadership abilities to drive innovation and guide our team of talented ML engineers and researchers.

Responsibilities:
• Develop and execute Precision Neuroscience's machine learning strategy, aligned with the company's long-term product roadmap.
• Lead the design and implementation of machine learning models for decoding neural signals and optimizing closed-loop BCI applications, ensuring seamless integration into our products.
• Collaborate with cross-functional teams, including neuroscience, software engineering, hardware engineering, design, and product management, to advance our mission and create transformative technologies.
• Build, mentor, and manage a team of machine learning engineers and researchers, fostering a culture of innovation, continuous learning, and growth.

Requirements:
• Ph.D. or Master's degree in Computer Science, Electrical Engineering, Neuroscience, or a related field with a focus on machine learning, artificial intelligence, or signal processing.
• At least 10+ years of experience in machine learning, with at least 5+ years in industry working on machine-learning based products.
• Proven track record of leading machine learning teams and projects, ideally within a start-up or fast-paced, innovative environment.

Location:
This position is located in Santa Clara, California, and requires the ability to work on-site.

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