Team info:

The Department of Pathology is embedded within Neuralink’s Research Services Organization and is committed to building a world-class, state-of-the-art lab equipped with automated instrumentation. The Pathology Department deploys both existing and emerging technologies for high fidelity tissue analysis. The Digital & Computational Pathology core represents the imaging branch of the Pathology Department and is responsible for performing due diligence of new imaging and image analysis platforms in addition to managing existing platforms and building custom analysis pipelines.

Job Responsibilities:

Our Pathology Department is seeking an experienced machine learning engineer to support applied and preclinical research in the setting of brain-computer interfaces. This position will require application of computer vision, machine learning, and software engineering to develop custom computational methods for automating tissue based analyses and interrogating basic biological features.

An individual in this role will:

• Work directly with scientists and software engineers to solve cutting-edge problems
• Design and develop image processing architecture and evaluate image processing algorithms
• Work directly with software engineering teammates to productionize algorithms
• Write custom code for algorithm development and model training, converting custom solutions to enable use by non-coders (i.e. pathologist, study directors, etc.) as needed
• Develop and automate machine learning based tissue segmentation algorithms to enhance manual annotations in image analysis workflows
• Have excellent communication and interpersonal skills, high levels of creativity and flexibility, and possess a highly collaborative approach to problem-solving
• Possess a high level of self-motivation, comfort with complex multi-tasking, ability to work independently with minimal assistance
• Present data in team meetings and participate in the technical reports in support of regulatory documents, as needed
• Communicates and partners with cross-disciplinary teams including, but not limited to, engineering, regulatory compliance, scientists, and other professionals

An individual in this role will deploy convolutional neural networks in machine learning projects aimed at complex feature and pattern recognition, spatial analysis and other evaluations routinely employed in digital pathology.

Other duties may be assigned.

Key qualifications

• Evidence of exceptional ability in engineering or computer science.
• Experience in creating and delivering solutions to problems in the Computer Vision space
• Experience in designing and productionizing ML models.
• You find large challenges exciting and enjoy discovering and defining problems as much as solving them.
• You deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a manufacturable solution that works every time.
• You are a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, biological engineers, and neuroscientists. You are comfortable communicating across teams.
• Resourceful, flexible and adaptable; no task is too big or too small.

Preferred qualifications:

• Experience solving problems in life science disciplines. This is not required, any excellent machine learning engineer is encouraged to apply!
• Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way.