Über
We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.
Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks.
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.
While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time.
About the Opportunity
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.
Responsibilities 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. Requirements 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. The base salary range for this role varies by location and is aligned to market benchmarks.
Candidates located in
higher-cost labor markets , including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in
all other U.S. locations
represent the low to middle end of the range. Final compensation is determined based on location, experience, skills, and internal equity. This role is eligible for a
15% target annual bonus , resulting in the following
base salary
and
Total Target Compensation (TTC)
ranges:
Base Salary:
$153,000 - $179,000 TTC: $176,000 - $206,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.
Working at Cleerly takes HEART. Discover our Core Values:
H: Humility - be a servant leader E: Excellence - deliver world-changing results A: Accountability - do what you say; expect the same from others R: Remarkable - inspire & innovate with impact T: Teamwork - together we win
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.
OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.
We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from @cleerlyhealth.com email accounts.
#Cleerly
Sprachkenntnisse
- English
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