Machine Learning Engineer, Ceribell

• Bachelor’s degree in Computer Science, Applied Mathematics, Electrical Engineering, or equivalent disciplines
• Strong machine learning and deep learning fundamentals
• 3+ Years of industry machine learning experience
• Strong programming skills in Python
• Production experience using machine learning tools (Torch, TensorFlow, scikit-learn) and versioning (Git, CI/CD)
• Prior experience with signal processing techniques (filtering, aliasing, wavelets)
• A successful candidate will bring together strong programming skills, understanding of machine learning and deep learning fundamentals, familiarity with big data technology and a passion for biomedical applications

Desirable

• The Machine Learning Team at Ceribell is working on large scale machine learning and deep learning problems to advance the state of neuro-diagnostics using EEG
• We are looking for a passionate and experienced machine learning engineer to develop and ship the next generation of diagnostic algorithms
• This will be a highly cross-functional role, working closely with stakeholders across the lifecycle of our products
• Research and development of machine learning algorithms for neuro-diagnostics using EEG and other biosensors
• Participate in publications, clinical research and regulatory submissions
• Maintain and improve software pipelines for training and inference
• Lead the transition of prototype machine-learning algorithms to robust, scalable real-time deployments
• Collaborate with engineers on the team through code and design reviews
• Communicate effectively with stakeholders within and outside the team