Machine Learning Engineer - Cardiovascular Multi-Omics (Epigenetics & Genetics)

Cardio Diagnostics Inc.; Chicago (IL); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) and Roth 401(k) with company  

Hybrid schedule: 4 days in office, 1 W

Job summary

Cardio Diagnostics is seeking a full-time, on-site Machine Learning Engineer to develop an advanced platform and drive ML initiatives across operations, modeling, and data engineering.

You will own end-to-end ML projects, build data pipelines, collaborate with scientists, and implement MLOps practices using cloud infrastructure. The role emphasizes production ML, code quality, and effective communication with stakeholders.

Qualifications

• MS or PhD in a quantitative field (e.g., CS, bioinformatics, ML, statistics).
• Strong ability to translate complex technical concepts to diverse audiences.
• Proven ability to learn new technologies and apply them quickly.
• Advanced programming skills in Python.

Responsibilities

• Design, develop, and maintain data pipelines and ML models.
• Collaborate with scientists and engineers on healthcare ML solutions.
• Implement MLOps practices including model performance tracking and drift detection.
• Scale and deploy ML models using cloud infrastructure.
• Ensure code quality and perform regular code reviews.

Skills

Python

ML in production

Communication

Model deployment

Data pipelines

Cloud computing

Python libraries (PyTorch, scikit-lear

Education

MS or PhD in a quantitative discipline

Tools

SageMaker

MLflow

PyTorch

scikit-learn

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