About this opportunity
Cardio Diagnostics Inc. lists this Machine Learning Engineer - Cardiovascular Multi-Omics (Epigenetics & Genetics) opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Cardio Diagnostics is a precision cardiovascular medicine company committed to making cardiovascular disease prevention and early detection more accessible, personalized, and precise. Our mission is to advance and commercialize our proprietary AI-driven multi-omics technology for cardiovascular disease, establishing ourselves as a leading medical technology company focused on improving prevention, diagnostics, and treatment in the field of cardiovascular health.
Responsibilities
About Cardio Diagnostics
Cardio Diagnostics is a precision cardiovascular medicine company committed to making cardiovascular disease prevention and early detection more accessible, personalized, and precise. Our mission is to advance and commercialize our proprietary AI-driven multi-omics technology for cardiovascular disease, establishing ourselves as a leading medical technology company focused on improving prevention, diagnostics, and treatment in the field of cardiovascular health.
Responsibilities
We are seeking a full-time, on-site Machine Learning Engineer to join Cardio Diagnostics. In this role, you will play a key part in developing our advanced platform and driving impactful machine learning initiatives across multiple disciplines, including operations, modeling, and data engineering. As a member of a small, agile team, you’ll take ownership of end-to-end machine learning projects. Key responsibilities include:
Designing, developing, and maintaining data pipelines and machine learning models
Collaborating with scientists and engineers to create machine learning solutions that address complex healthcare challenges
Implementing MLOps best practices, such as model performance tracking, data and model drift detection, and feedback loops for continuous improvement
Leveraging cloud infrastructure to scale and deploy machine learning models
Ensuring high-quality outcomes by adhering to coding standards, conducting regular code reviews, and following best practices in software development
Using bug tracking, code review, and version control tools for efficient project management
Analyzing and integrating large, diverse clinical and molecular datasets to generate actionable insights
Documenting, summarizing, and presenting results to both technical and non-technical stakeholders
Required Qualifications
MS or PhD in a quantitative discipline (e.g., computer science, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, or a related field)
Strong communication skills, with the ability to translate complex technical concepts to diverse audiences
Self-motivated and adaptable, with a proven ability to quickly learn and apply new technologies, tools, and methods
Advanced programming skills in Python
Experience building ML systems that run in productionExperience with machine learning platforms like SageMaker, MLflow, or similar
Expertise in machine learning libraries and tools (e.g., PyTorch, scikit-learn)
Preferred Qualifications
Experience in a fast-paced, entrepreneurial environment
Proven track record of peer-reviewed publications
Experience with genomic, epigenomic, or other multi-omic data (DNA methylation experience is a strong plus)
Experience with large-scale data processing platforms such as Apache Spark, Databricks, or AWS EMR
Experience developing machine learning models for cardiovascular applications
Familiarity with regulated healthcare environments (CLIA, HIPAA, FDA)
Compensation and Employment Details
Salary range: $90,000–$120,000, commensurate with experience
Salary-only position with no bonus component
Comprehensive medical, dental, and vision coverage
401(k) and Roth 401(k) plans with company match up to the Safe Harbor limit
Hybrid schedule: 4 days in office and 1 remote day each week
5 additional remote days every 6 months
Cardio Diagnostics does not provide H-1B sponsorship at this time
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.