Staff Software Engineer, Cleerly
Machine Learning
$200-231k
OTE
$175-201k
BASE
+ Eligible for a 15% target annual bonus and stock options. Salary may vary by location.
More information about location
AI-powered heart disease diagnostics
Be an early applicant
AI-powered heart disease diagnostics
201-500 employees
Be an early applicant
$200-231k
OTE
$175-201k
BASE
+ Eligible for a 15% target annual bonus and stock options. Salary may vary by location.
More information about location
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
- 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
- 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
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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