Senior Machine Learning Software Engineer, Cleerly
$176-206k
OTE
$153k
BASE
AI-powered heart disease diagnostics
Be an early applicant
AI-powered heart disease diagnostics
201-500 employees
Be an early applicant
$176-206k
OTE
$153k
BASE
201-500 employees
Company mission
To eliminate heart attacks by creating a new standard of care for the diagnosis of heart disease.
Role
Who you are
- 7+ years of experience in software engineering for ML production or ML platform delivery
- Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference
- Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows
- Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility
- Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines
- Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows
- Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams
- Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce
- We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company
What the job involves
- We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare
- You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value
- Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance
- Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging
- Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows
- Develop and operate end-to-end ML pipelines: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring
- Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment
- Identify and resolve workflow inefficiencies or gaps between research and production
- Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability
- Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows
Our take
Traditional heart disease evaluation methods, such as a coronary angiogram, can be invasive - a catheter is threaded through the arm or leg to reach the heart, where it injects dye into its arteries so X-ray images can capture how blood flows through the vessels.
Though serious complications from the procedure are rare, they potentially include injury to the artery, an allergic reaction or kidney damage from the dye, as well as heart attack or stroke. This is a problem that Cleerly is trying to solve by measuring this plaque through AI-powered imaging which analyzes non-invasive coronary CT scans.
The company's continued success and growth, marked by recent funding, reflect the immense potential of its AI-driven imaging technology. With strong financial backing, the company is well-positioned to revolutionize heart disease screening and expand its market reach. As Cleerly moves closer to gaining full regulatory approval and broader coverage, its innovative approach to early detection could be a transformative impact on healthcare, making it an exciting company to watch in coming years.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
102% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Dec 2024
$106m
SERIES C
Jul 2022
$223m
SERIES C
Total funding: $417.8m
Company benefits
- Comprehensive benefits package to support your health, growth, and work-life balance
- Choose from a variety of medical, dental, and vision plans that suit your needs
- We also offer an Employee Assistance Program (EAP)
- Flexible self-managed PTO
- Company holidays, including the week between Christmas Eve & New Year's Day, so you can recharge
- 401K with company match
- Generous parental leave
- Monthly stipends for WiFi/Internet and wellness
- Support your professional growth with annual stipends for learning and development
- Home office support
Company HQ
Central Business District, Denver, CO
Leadership
Dr. James Min
(Founder & CEO)Former Professor of Radiology and Medicine in Cardiology at Weill Cornell Medical College and the New York-Presbyterian Hospital. Former Director of the Dalio Institute of Cardiovascular Imaging.
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