Software Engineer, Ceribell

Machine Learning

$129.3-169.9k

+ Bonus, Equity and Employee Stock Purchase Plan (ESPP) with a discount

AWS

Docker

Kubernetes

GCP

Python

Java

Airflow

Tensorflow

Terraform

Azure

Spark

PyTorch

Mid and Senior level

San Francisco Bay Area

2+ days a week in office (Sunnyvale, CA)

Portable seizure diagnostics technology

Job no longer available

Portable seizure diagnostics technology

201-500 employees

HealthcareB2BArtificial IntelligenceMachine LearningMedTech

Job no longer available

$129.3-169.9k

+ Bonus, Equity and Employee Stock Purchase Plan (ESPP) with a discount

AWS

Docker

Kubernetes

GCP

Python

Java

Airflow

Tensorflow

Terraform

Azure

Spark

PyTorch

Mid and Senior level

San Francisco Bay Area

2+ days a week in office (Sunnyvale, CA)

201-500 employees

HealthcareB2BArtificial IntelligenceMachine LearningMedTech

Company mission

To make EEG widely accessible, more efficient, and more cost-effective to improve the diagnosis and treatment of patients at risk for seizure.

Job

Company

Role

Who you are

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
Bachelor’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

Desirable

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
Prior experience with machine learning model development and deployment

What the job involves

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
This will be a highly cross-functional role, working closely with stakeholders across the lifecycle of our products
You'll 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

Our take

Ceribell has created a cloud-based, AI-enabled electroencephalography (EEG) headset which helps diagnose seizures without the presence of an EEG technologist or specialist interpreter, allowing for faster diagnosis and better treatment.

Though founded back in 2014, Ceribell experienced a huge breakthrough in 2022 when its system was granted FDA clearance to help diagnose suspected seizures, which has led to a boost in venture capital investment.

The company has also gone on to receive the FDA’s Breakthrough Device Designation for its ability to diagnose delirium, or acute brain failure and was placed on the World's Most Innovative COmpanies List 2023 by the Fast Company. Ceribell has no plans on stopping there though, and intends to grow its team rapidly in a bid to expand its tech capabilities for a range of other neurological conditions.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

46% employee growth in 12 months

Glassdoor (3.2)

Company

Funding (last 2 of 4 rounds)

Sep 2022

$50m

SERIES C

Apr 2021

$53m

SERIES C

Total funding: $151m

Company benefits

100% Employer Paid Health, Dental and Vision for the Employee
50%- 70% Employer Paid Heath, Dental and Vision for dependents (according to plan selection)
Ceribell equity
A flexible vacation policy and 11 paid holidays
Monthly cell phone reimbursement
Flex spending account, life insurance, and disability insurance
Excellent parental leave policy
Joining a mission minded organization!

Company HQ

Sunnyvale West, Sunnyvale, CA

Leadership

Xingjuan (Jane) Chao

(CEO & Co-Founder)

Ph.D. in biophysics from Cornell University. Former Management Consultant with McKinsey & Company, later joining Novartis as Senior Strategy Manager. Principal Manager of Portfolio Management Strategy at Genentech before co-founding Ceribell.

Josef Parvizi

(Co-Founder)

Professor of Neurology at Stanford University School of Medicine since 2007. Previously worked in Internal Medicine Intern at Mayo Clinic.

Chris Chafe

(Co-founder)

Composer, Cellist, and Researcher. Director of Stanford University's Center for Computer Research in Music and Acoustics (CCRMA), and Duca Family Professor of Humanities and Sciences.

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