Director, Machine Learning

Precision is building a direct connection between the human brain and computers, to benefit the hundreds of millions of people worldwide suffering from neurological conditions. Established in 2021, we are a leader in the development and commercialization of brain–computer interfaces (BCI). 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. You will be joining a well capitalized and fast-moving company. In the two years since Precision’s founding, we have built and validated a product and have begun human trials in partnership with some of the country’s leading neurosurgery programs. And you will be working toward a deeply meaningful goal: restoring function to people living with devastating neurological conditions, including stroke, spinal cord injury, traumatic brain injury, and neurodegenerative disease such as ALS. Our platform will enable these individuals to regain independence, communicate with loved ones, and return to work. Key Responsibilities

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. 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. Specifically, the 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 andPreprocessing :

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. Skills, Knowledge and Expertise

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. Extensive experience in developing and deploying machine learning models, 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. 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. Ability to think strategically while also being hands-on, with a willingness to dive deep into technical details when necessary. Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone. As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law #J-18808-Ljbffr