Machine Learning Engineer

About Ceribell

Ceribell produces the world’s first brain monitor for point-of-care seizure triage and treatment. Our groundbreaking technology enables healthcare providers to test for a suspected seizure and then deliver treatments within minutes.
We are a rapidly growing venture capital-backed medical technology startup. Ceribell is being used in hundreds of community hospitals, large academic facilities and major IDN’s across the country. With extensive clinical validation of the effectiveness of our product and significant growth potential, Ceribell is a fantastic career opportunity.

Position Description:

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. 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. This will be a highly cross-functional role, working closely with stakeholders across the lifecycle of our products. This is a hybrid position with an in-office requirement of at least 3x per week.

Responsibilities:

• 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

Requirements/Qualifications

• 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)

Preferred

• Master’s degree in Computer Science, Applied Mathematics, Electrical Engineering, or equivalent disciplines AND 3+ years of machine learning experience
• Experience with machine learning management frameworks like MLflow, AirFlow, tensorboard, etc.
• Prior experience with cloud platforms (AWS, GCP, Azure etc.) and tools (Kubernetes, Docker etc.)
• Prior experience with SQL

At Ceribell, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply!

A candidate’s final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell’s corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.