Senior Machine Learning Software Engineer, Cleerly

$153-179k

Total Target Compensation; $176,000 - $206,000 (including base pay, variable pay, commission, bonuses, etc.)

AWS

Kubernetes

Python

Java

Airflow

Terraform

Unity

Snowflake

Sagemaker

Senior and Expert level

Denver

New York

AI-powered heart disease diagnostics

Posted today

AI-powered heart disease diagnostics

201-500 employees

HealthcareB2BArtificial IntelligenceMedTech

Posted today

$153-179k

Total Target Compensation; $176,000 - $206,000 (including base pay, variable pay, commission, bonuses, etc.)

AWS

Kubernetes

Python

Java

Airflow

Terraform

Unity

Snowflake

Sagemaker

Senior and Expert level

Denver

New York

201-500 employees

HealthcareB2BArtificial IntelligenceMedTech

Company mission

To eliminate heart attacks by creating a new standard of care for the diagnosis of heart disease.

Job

Company

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

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, kidney damage from the dye, as well as heart attack or stroke. This is a problem that Cleerly is trying to solve by instead measuring this through AI-powered imaging which analyzes non-invasive coronary CT scans.

The company's continued success and growth reflect the immense potential of its AI-driven imaging technology. With strong financial backing, the company is well-positioned to revolutionize heart disease screening as it expands its market reach, secures further approvals for its tech and partners with more major insurers.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

102% employee growth in 12 months

Glassdoor (4.1)

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

(CEO & Founder)

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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