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Software Engineer (Machine Learning)

Sunnyvale, CA, United States

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, all while we are pre-IPO, Ceribell is a fantastic career opportunity.

Position Overview

We are looking for a talented Software Engineer to join the data science team at Ceribell. You will drive the design and development of data and algorithm pipelines for a broad range of machine learning tasks in EEG neuro-diagnostics. A successful candidate will bring together strong programming skills, familiarity with big data technology and a passion for biomedical applications to help scale Machine Learning at Ceribell. This will be a highly cross-functional role, interacting with teams across the company to help us better develop and deliver machine learning solutions.

This is a hybrid position with an in office requirement of at least 3x per week.

What You'll Do

Contribute to design, development, and maintenance of innovative machine learning pipelines for dataset management, algorithm development and evaluation.

Maintain and improve existing tools for model lifecycle management.

Improve existing cloud infrastructure to support the data science workflows.

Develop and implement data quality tools and processes to ensure data integrity and reliability.

Lead the transition of prototype algorithms to robust, scalable real-time deployments.

Communicate effectively with stakeholders within and outside the team.

What We're Looking For

Bachelor’s degree in Computer Science, Applied Mathematics, Electrical Engineering, or equivalent disciplines

Strong programming skills in Python, JavaScript, and SQL

2+ years of full-stack development experience

2+ years of experience with cloud platforms like AWS, GCP, Azure

Prior experience with data analysis, visualization and statistics

Preferred

MS in Computer Science, Computer Engineering, Electrical Engineering, or related disciplines

Production/Deployment experience with web frameworks like NodeJS, Flask, Django, React etc.

Familiarity with machine learning development frameworks like Scikit-Learn, Torch, Tensorflow, Keras, etc.

3+ years of experience with web-development, SQL databases and AWS

Familiarity with machine learning management frameworks like mlflow, airflow, tensorboard, etc.

Application Deadline: Ongoing

In addition to your base compensation, Ceribell offers the following:

Annual Bonus Opportunity + Ceribell Equity

100% Employer paid Health Benefits for the Employee

50% - 70% Employer paid Health, Dental & Vision for dependents (according to plan selection)

Life & Long-term disability insurance paid 100% by Ceribell

Monthly cell phone stipend

Flexible paid time off

11 Paid Holidays

Excellent parental leave policy

Fantastic culture with tremendous career advancement opportunities

Joining a mission-minded organization!

Compensation Range

$145,000—$155,000 USD

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