Director of Machine Learning, Precision Neuroscience
$260-275k
More information about location
Office located in Santa Clara, CA
Building powerful, minimally invasive brain implants
Job no longer available
Building powerful, minimally invasive brain implants
101-200 employees
Job no longer available
$260-275k
More information about location
Office located in Santa Clara, CA
101-200 employees
Company mission
To provide breakthrough treatments for the one billion patients worldwide suffering from neurological illnesses.
Role
Who you are
- 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
- 8+ years of experience in ML, applied research, or data science, with 3+ years in technical leadership roles
- Experience with neural data, neuroscience research, or clinical deployment of ML
- Strong technical fluency in applied ML (e.g., real-time inference, personalization, signal processing, or similar domains)
- Experience managing cross-functional teams or matrixed orgs; ability to prioritize and execute in complex environments
- Excellent communication and collaboration skills; able to align diverse stakeholders
- Proven experience working in regulated, hardware/software-integrated domains (medical devices, neurotech, robotics, etc.)
What the job involves
- We are seeking an experienced a Senior 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 Senior Director of Machine Learning will be responsible for providing the following attributes to Precision’s machine learning efforts:
- Strategic Leadership: 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
- 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
- Collaboration and Communication: Serve as a key liaison between the machine learning team and other departments, ensuring alignment on project goals and deliverables with both technical and non-technical stakeholders
- 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 benefits
- Comprehensive medical, dental, and vision insurance
- 401(k) including an employer match
- Equity in the form of Incentive Stock Options
- Paid parental leave
- Discretionary time off policy
- Annual company-wide offsites
Company HQ
Kips Bay, New York, NY
Leadership
Michael Mager
(Co-Founder & CEO)Currently Co-Chairman at Assembly Software and Partner at Ridge Road Partners, Board Member at Supply Finance.
Mark Hettick
(Co-Founder & VP of Engineering - Microfabrication)Previously a Process Engineer at Neuralink, a Lead Safety Coordinator at Berkeley Labs and a Research Assistant at the Joint Center for Artificial Photosynthesis.
Benjamin Rapoport
(Co-Founder & Chief Science Officer)Currently a Scientific Director of the BioDesign program and an Assistant Professor of Neurosurgery at Mount Sinai Health Systems. Previously a Neurosurgery Residency, Chief Resident & Fellowship at Weill Cornell Medicine as well as a Founding Member of Neuralink.
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