Machine Learning Engineer, Cardiovascular Multi-Omics

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.

Responsibilities

• Building and maintaining data pipelines for DNA methylation, genotype, and clinical data
• Developing, validating, and maintaining machine learning models
• Deploying and scaling machine learning models and data pipelines on cloud platforms such as AWS
• Implementing MLOps practices on platforms such as MLflow, including model performance tracking, data and model drift detection, and feedback loops for continuous improvement
• Maintaining code quality through coding standards, testing, peer code reviews, and version control
• Collaborating with laboratory scientists, clinicians, and engineers to translate research into machine learning solutions
• Documenting, summarizing, and presenting results to both technical and non-technical stakeholders

• MS with 2+ years of relevant industry experience, or PhD, in computer science, machine learning, statistics, computational biology, biomedical informatics, applied mathematics, or a related quantitative field
• Self-directed, with a track record of quickly learning and applying new technologies and methods
• Proficiency with machine learning libraries such as PyTorch and scikit-learn
• Experience building, deploying, and maintaining machine learning systems in production
• Experience with machine learning platforms such as MLflow
• Ability to explain complex technical concepts clearly to technical and non-technical audiences
• Strong Python skills, including writing production-quality code

Preferred Qualifications

• Experience with DNA methylation, genomic, or other multi-omic data
• Experience applying machine learning to cardiovascular disease
• Familiarity with regulated healthcare environments such as CLIA, HIPAA, and FDA
• Experience with large-scale data processing tools such as Apache Spark, Databricks, or AWS EMR
• Experience in a fast-paced startup or small-company environment
• Peer-reviewed publications in machine learning, computational biology, or a related field

• 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
• 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