Software Engineer (Machine Learning)

About CeribellCeribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform designed to address the unmet needs of patients in the acute care setting. It is being used in hundreds of community hospitals, large academic facilities and major IDNs across the country. Our team is driven by a commitment to transforming the landscape of critical care through rapid seizure detection technology.Position OverviewThe Machine Learning Team at Ceribell is working on large-scale machine learning and deep learning problems to advance neuro-diagnostics using EEG. We are looking for a passionate and experienced software engineer to ship the next generation of diagnostic algorithms. A successful candidate will bring strong programming skills, understanding of machine learning fundamentals, familiarity with big data technology, and a passion for biomedical applications. This is 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 2x per week.What you'll achieveDesign, develop, and maintain scalable infrastructure for training and deploying classical and deep learning models.Build robust ETL pipelines that connect data lakehouses with internal dashboards and analytics tools.Manage cloud infrastructure, including compute resources, databases, and storage systems, ensuring high availability and performance.Productionize prototype algorithms by transforming them into scalable, reliable, and real-time systems.Collaborate cross-functionally with data scientists, product managers, and engineering teams to align technical solutions with business municate technical concepts and progress clearly to both technical and non-technical stakeholders.What you’ll need to be successfulBachelor’s degree in Computer Science, Applied Mathematics, Electrical Engineering, or equivalent disciplines.3+ years of industry software engineering experience.Strong programming skills in Python, Java, or similar languages.Experience with ML frameworks (e.g., PyTorch, TensorFlow) and data pipeline tools (e.g., Airflow, Spark).Proficiency with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code tools (e.g., Terraform, CloudFormation).Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes, CI/CD pipelines).Understanding of model lifecycle management and MLOps best practices.PreferredMaster’s degree in Computer Science, Applied Mathematics, Electrical Engineering, or equivalent disciplines AND 3+ years of machine learning experience.Experience with ML management frameworks like MLFlow, AirFlow, TensorBoard.Prior experience with machine learning model development and pensation and BenefitsCompensation range: $129,336—$169,950 USDAnnual Bonus + Equity Opportunity100% employer-paid health benefits for employees50%–70% employer-paid health, dental & vision for dependents100% paid life and long-term disability insurance401(k) with a generous company matchEmployee stock purchase plan (ESPP) with a discountMonthly cell phone stipendFlexible paid time off11 paid holidays + 5 company wellness daysExcellent parental leave policyCulture with career advancement opportunitiesJob Function & IndustryJob function: Engineering and Information TechnologyIndustry: Medical Equipment ManufacturingReferrals increase your chances of interviewing at Ceribell │ AI-Powered Point-of-Care EEG. #J-18808-Ljbffr

Created: 2025-09-24