Director of Machine Learning, Precision Neuroscience
$260-275k
Office located in Manhattan, New York
Building powerful, minimally invasive brain implants
Open for applications
Building powerful, minimally invasive brain implants
21-100 employees
Open for applications
$260-275k
Office located in Manhattan, New York
21-100 employees
Company mission
To provide breakthrough treatments for the one billion patients worldwide suffering from neurological illnesses.
Role
Who you are
- 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
- 8+ years of experience in ML, applied research, or data science, with 5+ years in industry, and 3+ years in technical leadership roles
- 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, particularly in domains requiring the analysis of complex, high-dimensional data such as neural signals
- Experience managing cross-functional teams or matrixed orgs; ability to prioritize and execute in complex environments
- Strong comprehension of machine learning algorithms, neural networks, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling
- Familiarity with BCI technology, neuroimaging data, and brain signal processing techniques (e.g., ECoG, EEG) preferred
- Demonstrated ability to lead and inspire a diverse team of engineers and researchers, fostering a collaborative and high-performance work environment
- Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
- Proven experience working in regulated, hardware/software-integrated domains (medical devices, neurotech, robotics, etc.)
- The ideal candidate will possess a deep understanding of modern machine learning and signal processing (ideally, 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
What the job involves
- As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible
- We are seeking an experienced Director of 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
- Specifically, the Director of Machine Learning will be responsible for providing the following attributes to Precision’s machine learning efforts:
- Strategic Leadership: Define and own the strategy for our ML/ephys function, including model deployment, experimentation, infrastructure, and research, aligned with the company’s long-term product roadmap
- 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
- Process development: Build scalable processes to deliver ML that is auditable, explainable, and safe, especially in a regulated environment
- 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 efforts are balanced between short-term delivery with long-term research and innovation strategy
- Collaboration and Communication: Collaborate closely with clinical and neuroscience teams to ensure models reflect real-world use and patient needs. Represent the ML function in leadership discussions and drive cross-functional alignment
- Innovation and Intellectual Property: Identify opportunities for innovation, creativity, and experimentation within the machine learning domain, contributing to the development of intellectual property and patents
Our take
Precision Neuroscience is finding new, practical ways of improving the lives of those who are suffering from neurological conditions.
The Layer 7 Cortical Interface is an implant that’s 1/5th the thickness of a human hair and can be fitted onto the human brain without damaging it. Through minimally invasive micro-slit surgery, the brain implant can process data and aims to move brain-computer interfaces (BCI) technology from small-scale research into a new era of worldwide usage.
The long-term goal of the Layer 7 Cortical Interface is to allow customers to interact with people and the world via digital means. Whilst the market is blooming with new companies exploring the possibilities of BCI technology, Precision has an advantage in that its solution requires minimal surgery and is reversible, meaning that it has wider implications than just neurological disorders.
Work is ongoing but with substantial funding behind it, Precision is using its investment to ramp up product development and FDA regulatory review as well as expanding its team.
Freddie
Company Specialist at Welcome to the Jungle
Insights
68% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2024
$102m
SERIES C
Nov 2024
$93m
LATE VC
Total funding: $249m
Company HQ
Kips Bay, New York, NY
Leadership
Michael Mager
(CEO & Co-Founder)Currently Co-Chairman at Assembly Software and Partner at Ridge Road Partners, Board Member at Supply Finance.
Mark Hettick
(Vice President of Engineering - Microfabrication)Previously Process Engineer at Neuralink, Lead Safety Coordinator at Berkeley Labs and Research Assistant at the Joint Center for Artificial Photosynthesis.
Benjamin Rapoport
(Chief Science Officer & Co-Founder)Previously Scientific Director of the BioDesign Program at Mount Sinai Health Systems. Previously Neurosurgery Residency at Weill Cornell Medicine and Founding Member at Neuralink.
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