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

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 production

· Experience 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