Cleerly is the company on a mission to eliminate heart attacks by creating a new standard of care for the diagnosis of heart disease. Through its AI-empowered solutions, Cleerly supports…
Cleerly is the company on a mission to eliminate heart attacks by creating a new standard of care for the diagnosis of heart disease. Through its AI-empowered solutions, Cleerly supports…
Core offering: AI-driven analysis of coronary CT angiography (CCTA) for quantitative coronary artery disease phenotyping
Mission: Eliminate heart attacks by creating a new standard of care for diagnosis of heart disease
Founded / HQ: Founded 2017; headquartered in Denver, Colorado
Regulatory status: Offers FDA-cleared algorithms
Reported total funding: Approximately $417.8M (company-reported and press figures vary by round)
Company Overview
Problem Domain
Diagnosis and phenotyping of coronary artery disease to prevent heart attacks
Founded
2017
Industry
Medical Equipment Manufacturing
Funding Track Record
Series B- June 2021
43000000
Series B reported at $43M
Series C- 2024
223000000
Company press materials reported a $223M Series C bringing total to $279M
Series C extension- December 4, 2024
106000000
Reported as a $106M extension led by Insight Partners with participation from Battery Ventures
Investor Signal
“Institutional and crossover investor interest, including Insight Partners, Battery Ventures, T. Rowe Price, Fidelity, Vensana Capital, and other healthcare investors”
Founders
What we do
Join the Team
Staff Software Engineer
On-SiteNew York, US
On-Site • New York, US
Related Companies
Company
HQ
Industry
Total Funding
Caristo Diagnostics
🇬🇧Oxford, GB
BiotechnologyDeepTechHardwareHealthManufacturing
$30M
Cohere Health
🇺🇸US
HealthInformation TechnologySoftware
$196M
Gradient Health
🇺🇸US
Data and AnalyticsDeepTechHealthSoftware
-
Craniometrix
🇺🇸US
Health
-
Oatmeal Health
🇺🇸Mountain View, US
Data and AnalyticsDeepTechFinanceHardwareHealthSoftware
-
Who you are
12+ years of experience (Bachelor’s; 8+ with Master’s; 5+ with PhD) designing, implementing, and optimizing AI and ML systems, ideally in regulated healthcare or clinical domains
Deep technical expertise in ML pipelines, distributed model serving architectures, and production ML lifecycle management, with a track record of solving high-impact system challenges
Proficiency in Python, Java, or similar, with extensive programming experience establishing reproducible ML workflows, coding standards, and software engineering best practices for AI/ML applications
Proficiency with ML infrastructure and orchestration tools (Kubernetes, Helm, Airflow) and data platforms (Snowflake, PostgreSQL, Airbyte), and building scalable pipelines that support ML data processing and model workflows
Advanced experience with AWS (including SageMaker and S3), ML infrastructure frameworks such as MLflow and Terraform, and exposure to platforms like Databricks, with a proven track record of implementing end-to-end ML systems and optimizing platform performance, scalability, and operational efficiency
Proven ability to influence technical approaches and operational practices in AI/ML workflows, elevating system efficiency, reproducibility, and reliability
Strong expertise in regulatory and compliance requirements for AI/ML (FDA, HIPAA), able to design systems that are inherently compliant, reproducible, and auditable. (Preferred)
Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce
What the job involves
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
Startup jobs. A lot of them.
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
66,000+
Open Roles
1,500+
New This Week
Backend Developer
Full-timeHaifa
Full-time • Haifa
Backend Developer
ContractTel Aviv
Contract • Tel Aviv
Mobile Developer
InternshipNovi Sad, RS
Internship • Novi Sad, RS
Mobile Developer
Full-timeTel Aviv
Full-time • Tel Aviv
DevOps Engineer
Part-timeBerlin, DE
Part-time • Berlin, DE
Machine Learning Engineer
Part-timeCambridge, GB
Part-time • Cambridge, GB
At Cleerly, we collaborate digitally and use a wide variety of systems
Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus
Role or department specific technology needs may vary and will be listed as requirements in the job description
We are seeking an experienced Staff Machine Learning Engineer to architect, scale, and advance our machine learning platforms that bridge AI innovation and production in regulated healthcare
In this high-impact role, you will define and implement core platform capabilities, enabling scalable, secure, and compliant deployment of ML models that directly impact the care pathway for heart disease diagnosis and prognosis
You will tackle complex engineering challenges across end-to-end ML pipelines, ensuring reproducibility, efficiency, and compliance while driving the technical evolution of the platform
The AI Software Engineering team translates advanced ML models into production-ready, scalable solutions that directly impact the care pathway for heart disease diagnosis and prognosis
Working closely with AI scientists, software engineers, and regulatory teams, the team ensures models and ML workflows integrate seamlessly into clinical and product systems while maintaining reproducibility, compliance, and high performance
The team drives continuous improvements in efficiency, throughput, and infrastructure utilization, delivering reliable, scalable AI services that advance the accuracy and impact of Cleerly’s regulated products
You'll architect and develop scalable AI/ML platforms and end-to-end pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, monitoring, drift detection, and automated retraining, while ensuring reproducibility, compliance with FDA/HIPAA, and alignment with organizational and regulatory goals
Optimize and operationalize production ML systems, including monitoring, drift detection, automated retraining, and workflow execution, to achieve high performance, reliability, scalability, and regulatory adherence
Evolve the ML stack through integration and refinement of frameworks, libraries, and infrastructure, improving system efficiency, maintainability, and the ability to support clinical ML workflows
Ensure operational readiness of ML pipelines and platforms, verifying data quality, throughput, reproducibility, and compliance across production workflows
Drive improvements in processes, tooling, and collaboration to streamline the transition of ML models from research to production, enhancing efficiency, reproducibility, and compliance across the platform
Support your professional growth with annual stipends for learning and development
