We are a well-capitalized and fast moving medical device company. Right now, there is a huge deficiency to treat and serve hard to manage neurological medical conditions and our elite team of neurosurgeons and engineers are striving to make a change for those living with neurological conditions.
What You Will Be Doing:
-Lead our efforts in developing cutting-edge machine learning solutions for brain-computer interface (BCI) applications.
-Develop and execute our 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.
-Collaborate with cross-functional teams, including neuroscience, software engineering, hardware engineering, design, and product management, to ensure seamless integration of machine learning solutions into our products.
-Team Management and Development: Build, mentor, and manage a team of machine learning engineers and researchers, fostering a culture of innovation, continuous learning, and growth.
-Research and Development: Drive collaborative research initiatives to explore cutting edge machine learning methodologies, algorithms, and models tailored for BCI applications.
-Project Management: Oversee the end-to-end development lifecycle of machine learning projects, from ideation and data collection to timely model deployment and performance evaluation. Ensure ML roadmap is aligned with company objectives and communicated with key cross-functional stakeholders.
-Data Management and Preprocessing: Lead efforts in data acquisition, cleaning, preprocessing (with neuroscience), and feature extraction to ensure high-quality inputs for machine learning models.
What You Need for this Position:
-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.
-Extensive experience in developing and deploying machine learning models into production, particularly in domains requiring the analysis of complex, high-dimensional data such as neural signals.
-Deep expertise in machine learning algorithms, neural networks, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
-Strong programming skills in languages such as Python, C++, or MATLAB, with experience in handling large-scale data processing.
-Strong experience working with time-series data, preferably in healthcare or other biomedical domains.
-Demonstrated ability to lead and inspire a diverse team of engineers and researchers, fostering a collaborative and high-performance work environment.
-Ability to think strategically while also being hands-on (you will spend up to 50% of the time writing & reviewing code)
-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.
Benefits
- Full Benefits
- 401K Match
- Equity
For this position you must be currently authorized to work in the United States. We do not sponsor for this position.
Nitu Gulati-Pauly is recruiting for this position and the positions below.
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