Sr ML Scientist

Overview

Would you like to work with a rapidly growing healthcare startup engineering team developing AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks? If so, you have an opportunity to be part of a growing team making a difference in healthcare.

Lead the development, validation, and deployment of advanced machine learning models that directly impact the diagnostic and prognostic care pathways for heart disease. In this senior-level role, you will provide technical leadership across multi-disciplinary teams, help shape the company’s ML roadmap, and guide high-stakes projects from ideation through regulatory approval and clinical integration. 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.

• Define technical and research strategies to achieve new business opportunities, and lead proposals to pursue new areas of science or technology in programs to meet the organization’s long-term strategic goals.
• Lead the design and development of state-of-the-art ML and deep learning models for complex, multi-modal medical imaging and clinical data across multiple projects
• Set the technical direction for core ML initiatives, balancing scientific rigor with clinical and business priorities. Evangelizes new technology within the company.
• Drive innovation in data representation, model architecture, and learning paradigms to advance the field and improve clinical outcomes. Establish frameworks and processes that are used across teams.
• Oversee and guide rigorous validation, benchmarking, and regulatory-aligned evaluation of ML algorithms.
• Partner with scientific team, engineering, product, biostatistician, and regulatory teams to drive the end-to-end lifecycle of medical products to ensure successful delivery and impact.
• Provide design and system optimization solutions to drive improved customer experience and satisfaction.
• Mentor and guide other ML scientists and engineers, fostering a culture of technical excellence and continuous learning.
• Lead collaborative research efforts with academic and medical partners; author high-impact publications and contribute to the company’s intellectual property portfolio.
• Present findings, strategic insights, and technical recommendations to executive leadership and external stakeholders.

• 12+ years of post Ph.D. or industry experience leading applied ML initiatives.
• Hands-on expertise in advanced ML techniques such as vision transformers, self-supervised learning, continual/incremental learning, contrastive learning or physics-informed deep learning.
• Experience with ML orchestration frameworks, such as Kubeflow, MLFlow, Ray, Metaflow, or Argo Workflow
• Strong domain knowledge in cardiac CT and coronary artery disease diagnostics.
• Experience contributing to 510(k) submissions or working in a regulated SaMD development environment.
• Expert in Python with experience in deep learning frameworks - Py Torch
• Hands on experience building deep learning models for NLP tasks
• Experience with generative AI and Retrieval Augmented Generation (RAG)
• Experience working with unstructured healthcare data
• Experience with OCR or image-based document understanding techniques
• Hands on experience using Sage Maker Studio