About the Opportunity

We are seeking a hands-on, front-end-strong full-stack engineer to own the clinical reporting experience at the heart of our imaging platform. This is a high-impact individual contributor role — you will be the primary engineer driving the reporting UI and clinical workflow that cardiologists and radiologists use to review, finalize, and deliver results.

Our engineering team skews backend-heavy, which means there is significant frontend work ahead and real ownership available for the right person. You will work directly with clinical stakeholders — cardiologists, radiologists, and Core Lab teams — to shape workflows that directly impact patient care.

The ideal candidate is a strong React/TypeScript engineer who is comfortable with backend API integration, has built clinician-facing interfaces before, and is genuinely excited about doing the detailed, grinding work of getting clinical UIs right.

What You'll Own

Clinical Reporting UI

• Own the end-to-end reporting experience — the interface cardiologists and radiologists use to review cases, finalize results, and sign off on reports
• Build a web-based results summary displaying case status, key measurements, exceptions, and data provenance across Cleerly and integrated third-party applications
• Design and implement clear, high-usability clinical interfaces that handle complex multi-source data with strong information hierarchy

Workflow Integration

• Implement secure viewer launch flows — opening the Cleerly viewer, embedded HTML5 components, or external viewers via deep-link or SDK integration
• Partner with Backend, Viewer, and CoreLab teams to ensure the full workflow reliably supports case gating, edits, final sign-off, and write-back to PACS/EHR
• Integrate with third-party reporting engines and dictation tools (e.g., Nuance, M*Modal) as needed

Backend and API Integration

• Consume and shape REST APIs, manage pagination and filtering, and ensure audit-safe data handling across the reporting surface
• Work with FHIR/HL7 standards for structured reporting outputs and EHR write-back
• Contribute to backend services as needed to support the reporting platform

What We're Looking For

Required:

• 8+ years of professional software engineering experience, with demonstrable frontend depth
• Strong React and TypeScript — this is your primary toolkit and you are genuinely comfortable owning a complex clinical UI in it
• Experience building clinician-facing interfaces — radiology, cardiology, clinical workflow, or similar regulated environments
• Solid backend/API integration skills — you can consume and shape APIs, handle edge cases, and reason about data integrity
• Working knowledge of at least one healthcare interoperability standard (FHIR or HL7 v2)
• Strong testing discipline — rigorous handling of edge cases, error states, partial results, and latency in clinical UIs
• Ability to operate in a regulated environment — requirements traceability, change impact analysis, validation support
• Direct experience collaborating with clinical stakeholders to define and refine workflows

Nice to Have:

• DICOM-SR, SEG, or Presentation State familiarity — structured reporting, segmentation, or image overlay concepts
• Experience embedding or launching medical viewers (OHIF/Cornerstone, HTML5 viewers, iframes) using secure messaging protocols
• Java and Spring framework experience
• Prior integration with commercial reporting or dictation tools (Nuance, M*Modal)
• DICOM protocol knowledge (C-STORE, C-FIND, DICOMweb)

Why This Role

This is not a role for someone who wants to delegate the frontend work. Our team needs someone who is excited to get into the details — pixel-level UI decisions, clinical edge cases, the nuance of how a cardiologist actually reads a report — and who takes pride in getting that layer right. If you've built clinical workflow UIs before and want real ownership of a product used directly in patient care, this is the role.

 Why you should apply:

• PURPOSE: Cleerly’s purpose is to create a world without heart attacks. With our new paradigm for precision heart care, we will leave big footprints in the sands of time. Help us make that a reality!
• COMMUNITY: We are building a truly world class team of talented problem solvers. While we have diverse backgrounds, we are united in our commitment to each other, to our customers, and to the patients our technology serves.
• GROWTH: We prioritize learning and growth. As a rapid growth company, there is always space for new challenges and responsibilities. And, through Cleerly U, we invest in the development of our team.
• OWNERSHIP: Everyone on the team contributes to our success, so everyone has equity in the company through our employee stock option incentive plan.
• BENEFITS: Cleerly offers a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. Our 401(k) program helps you invest in the future.

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.

Job duties, activities, and responsibilities are subject to change by our company.

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: $175,000 - $201,000
• TTC: $200,000 - $231,000

*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.

About the Opportunity

We’re Cleerly – a healthcare company based in Denver, Colorado and New York, New York 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 will enable rapid growth and continued support of our mission.

Cleerly is creating 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.

About the Opportunity

We are seeking a highly skilled Staff Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health.

Key Responsibilities

• Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications.
• Implement efficient and robust image processing pipeline to solve challenging problems in low latency environments.
• Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams.
• Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation.
• Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice.
• Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos.
• Contribute to intellectual property development through patents and scientific publications.
• Mentor junior scientists and foster a culture of technical excellence and scientific rigor.

Required Qualifications & Skills

• PHD. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience.
• Applied AI/DL research for medical imaging diagnostics and analysis, classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration
• Proven track record of successful product delivery in medical imaging domain
• Strong experience in C++ and Python.
• Experience of developing and applying graph processing or GNN(graph neural network)
• Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus
• Prior experience with cardiac motion modelling or tracking is a plus
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications

• 5+ years of industry experience in AI-based medical device development or clinical deployment.
• Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways.
• Deep domain knowledge in cardiovascular imaging and CT interpretation workflows.

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.

Job duties, activities, and responsibilities are subject to change by our company.

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: $234,000 - $271,000 
• TTC: $268,000 - $311,000

*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.

About the Opportunity

We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions.

Responsibilities

• Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications.
• Conduct rigorous analysis and validation of machine learning algorithms and prototypes.
• Explore novel methods for processing and analyzing large, complex medical imaging datasets.
• Collaborate with engineering teams to deploy ML algorithms in clinical practice.
• Present research findings, insights, and recommendations to internal stakeholders and external collaborators.
• Author scientific publications and contribute to patent development.
• Manage collaborative research projects with leading academic partners.

Requirements

• Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience.
• Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning.
• Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection.
• Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis).
• Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results.
• Ability to translate complex clinical requirements into machine learning solutions.
• Strong critical thinking, problem-solving, and project management skills.
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications: 

• 2+ years of postdoctoral research or industry experience.
• Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.
• Strong domain knowledge in CT imaging and its clinical applications.

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: $186,000 - $212,000
• TTC: $214,000 - $245,000

*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.

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.

About the Opportunity

We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

• Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms.
• Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability.
• Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability.
• Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack.
• Uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
• Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
• Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards 

Requirements 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Demonstrable capability in designing, implementing, and securing RESTful web services
• Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
• Experience with AWS, GitHub, and continuous integration pipelines
• Proven track record of delivering scalable systems in production environments.
• Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability.
• Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks).
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Preferred:

• Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
• Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing.

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.

Job duties, activities, and responsibilities are subject to change by our company.

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: $129,000 - $152,000
• TTC: $142,000 - $168,000

*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.

About the Opportunity

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.

About the Team

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.

Responsibilities

• 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.
  
  

Requirements 

• 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)

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: $175,000 - $201,000
• TTC: $200,000 - $231,000

*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.