Software Engineer (Machine Learning)
Software Engineer (Machine Learning)
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$ 129336 - 169950
1 Vacancy
Job Description
About Ceribell
Ceribell 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 specifically designed to address the unmet needs of patients in the acute care setting and is being used in hundreds of community hospitals large academic facilities and major IDNs across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology come join the movement!
Position Overview:
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 software engineer to ship the next generation of diagnostic algorithms. A successful candidate will bring together strong programming skills understanding of machine 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 2x per week.
What youll achieve:
- Design 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 goals.
- Communicate technical concepts and progress clearly to both technical and non-technical stakeholders.
What youll need to be successful:
- Bachelors 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 KubernetesCI/CD pipelines).
- Understanding of model lifecycle management and MLOps best practices.
Preferred:
- Masters 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.
- Prior experience with machine learning model development and deployment.
In addition to your base compensation Ceribell offers the following:
- Annual Bonus Equity Opportunity
- 100% Employer paid Health Benefits for Employees
- 50% - 70% Employer paid Health Dental & Vision for dependents (depending on plan selection)
- 100% paid Life and Long-Term Disability Insurance
- 401(k) with a generous company match
- Employee Stock Purchase Plan (ESPP) with a discount
- Monthly cell phone stipend
- Flexible paid time off
- 11 Paid Holidays 5 Company Wellness Days
- Excellent parental leave policy
- Fantastic culture with tremendous career advancement opportunities
- Joining a mission-minded organization!
Compensation Range
$129336 - $169950 USD
Employment Type
Full Time
