Sr. Machine Learning Software Engineer at Cleerly

<div class="content-intro"><p><strong>About Cleerly</strong></p> <p>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.&nbsp;</p> <p>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.&nbsp;</p> <p>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.&nbsp;</p> <div id="C08UL92QPH8-1758651909.410819-thread-list-Thread_1758652385.135439" class="c-virtual_list__item" data-qa="virtual-list-item" data-item-key="1758652385.135439"> <div class="c-message_kit__background c-message_kit__background--hovered c-message_kit__message c-message_kit__thread_message" data-qa="message_container" data-qa-unprocessed="false" data-qa-placeholder="false"> <div class="c-message_kit__hover c-message_kit__hover--hovered" data-qa-hover="true"> <div class="c-message_kit__actions c-message_kit__actions--default"> <div class="c-message_kit__gutter"> <div class="c-message_kit__gutter__right" data-qa="message_content"> <div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> <div class="p-rich_text_block"> <div class="p-rich_text_section">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.</div> <div class="p-rich_text_section">&nbsp;</div> <div class="p-rich_text_section"><em>Cleerly is committed to providing safe and effective medical software that meets customer needs and our intended use. The adherence to all applicable regulatory and statutory requirements establishes a clear framework for setting measurable quality objectives. Our commitment to continually improving our products and processes proactively manages risks, ensuring ongoing compliance throughout the entire software lifecycle. &nbsp;Understanding this role's relevance and importance is critical to achieving Cleerly's quality objectives.</em></div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div></div><p><span style="font-size: 14pt;"><strong>About the Opportunity</strong></span></p> <p><span style="font-size: 12pt;">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.</span></p> <p>&nbsp;</p> <h3><span style="font-size: 14pt;"><strong>Responsibilities</strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Collaborate with AI scientists to <strong>package and deploy ML models</strong>, ensuring reproducibility, versioning, and compliance.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Build and maintain <strong>model serving infrastructure</strong> including monitoring, drift detection, automated retraining, and logging.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Implement <strong>unit, integration, and system-level testing for ML models</strong>, covering data validation, model correctness, and deployment workflows.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop and operate <strong>end-to-end ML pipelines</strong>: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Integrate <strong>CI/CD and MLOps practices</strong> for automated model builds, testing, and deployment.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Identify and resolve <strong>workflow inefficiencies or gaps</strong> between research and production.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Recommend and integrate frameworks, libraries, and infrastructure to improve <strong>pipeline efficiency, maintainability, and observability</strong>.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Collaborate cross-functionally to ensure <strong>compliance with regulatory requirements (FDA/HIPAA)</strong> in production ML workflows.</span><br><br></li> </ul> <h3><span style="font-size: 14pt;"><strong>Requirements</strong></span></h3> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">7+ years of experience in <strong>software engineering for ML production or ML platform delivery</strong>.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Hands-on experience <strong>deploying ML models</strong> via APIs, batch pipelines, or streaming inference.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proficiency in <strong>Python (required), Java, or similar</strong>, with software engineering best practices for ML workflows.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with <strong>unit, integration, and pipeline-level testing</strong> for ML models, including data validation, correctness checks, and reproducibility.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with <strong>cloud platforms</strong> (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with <strong>CI/CD, Orchestration tools</strong> (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.</span></li> </ul> <p><span style="font-size: 12pt;">The base salary range for this role varies by location and is aligned to market benchmarks.</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Candidates located in <strong>higher-cost labor markets</strong>, 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 <strong>all other U.S. locations </strong>represent the low to middle end of the range.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Final compensation is determined based on location, experience, skills, and internal equity.</span></li> </ul> <p><span style="font-size: 12pt;">This role is eligible for a <strong>15% target annual bonus</strong>, resulting in the following <strong>base salary </strong>and <strong>Total Target Compensation (TTC)</strong> ranges:</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Base Salary: </strong><strong><em>$153,000 - $179,000</em></strong></span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>TTC: $176,000 - $206,000</strong></span></li> </ul> <p><span style="font-size: 12pt;">*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.</span></p> <p>&nbsp;</p><div class="content-conclusion"><p><strong>Working at Cleerly takes HEART. Discover our Core Values:</strong></p> <ul> <li data-renderer-start-pos="1133"><strong>H: Humility</strong>- be a servant leader</li> <li data-renderer-start-pos="1133"><strong>E: Excellence</strong>- deliver world-changing results</li> <li data-renderer-start-pos="1133"><strong>A: Accountability</strong>- do what you say; expect the same from others</li> <li data-renderer-start-pos="1133"><strong>R: Remarkable</strong>- inspire &amp; innovate with impact</li> <li data-renderer-start-pos="1133"><strong>T: Teamwork</strong>- together we win</li> </ul> <p><span style="font-weight: 400;">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. <em>Job duties, activities and responsibilities are subject to change by our company.</em></span></p> <p><strong><em>OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.</em></strong><em><span style="font-weight: 400;"> &nbsp;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.</span></em></p> <p>For more information see our Privacy Policy (<a href="https://cleerlyhealth.com/privacy-policy)">https://cleerlyhealth.com/privacy-policy)</a>. All official emails will come from @cleerlyhealth.com email accounts.&nbsp;</p> <p><span style="font-weight: 400;">#Cleerly</span></p></div>