Senior ML Scientist (AI)

TL;DR

Senior ML Scientist (AI): Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications with an accent on segmentation, registration, classification, and detection. Focus on processing large complex medical imaging datasets, validating algorithms, and deploying ML solutions in clinical practice.

Location: Mostly remote with access to offices in Denver CO, New York NY, Dallas TX, Boston MA (US), and Lisbon (Portugal); occasional travel required for team meetings (once per month/quarter).

Salary: $186,000 - $212,000 base (TTC $214,000 - $245,000; varies by US location).

Company

Healthcare company revolutionizing heart disease diagnosis, treatment, and tracking with AI-driven precision diagnostic solutions for atherosclerosis quantification.

What you will do

• Research and develop state-of-the-art ML models for coronary CT angiography imaging.
• Conduct analysis and validation of ML algorithms and prototypes.
• Explore novel methods for processing large medical imaging datasets.
• Collaborate with engineering teams to deploy ML algorithms clinically.
• Present findings to stakeholders and external collaborators.
• Author publications and contribute to patents.
• Manage research projects with academic partners.

Requirements

• Ph.D. in Computer Science, Data Science, Biomedical Engineering, or related; or M.S. with 5+ years experience.
• Expertise in image science, applied math, ML, deep learning.
• Research experience in ML/DL for medical image processing (segmentation, registration, etc.).
• Publications in top conferences/journals (MICCAI, CVPR, etc.).
• Proficiency in Python for datasets, ML pipelines, visualization.
• Ability to translate clinical requirements to ML solutions.
• Strong critical thinking, problem-solving, project management, collaboration skills.

Nice to have

• 2+ years postdoc or industry experience.
• Advanced DL models (vision transformers, self-supervised learning, etc.).
• Domain knowledge in CT imaging.

Culture & Benefits

• Core values: Humility, Excellence, Accountability, Remarkable, Teamwork.
• Mostly remote work with office access.
• 15% target annual bonus, stock options, paid benefits, perks.
• Use of Google Workspace, Slack, Confluence/Jira, Zoom.
• Travel for meetings (occasional to frequent for some roles).