Summary
Join our team as a Machine Learning Research Scientist and lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products.
Requirements
- Deep “under-the-hood” understanding of modern neural network architectures
- Extensive experience developing and implementing state-of-the-art deep learning models using frameworks such as PyTorch or JAX
- Proven track record in clinical machine learning research, as demonstrated through first-author publications at top-tier conferences and journals
- Demonstrated understanding of recent and relevant AI/ML research trends and ability to quickly assess the quality of published clinical ML research
- Ph.D. (or Master’s degree with 3+ years experience) in Computer Science, Biomedical Informatics, Mathematics, Electrical Engineering, or a related field with an AI/ML focus
- Ability to communicate clearly, as evidenced by blog posts, conference talks, published research papers, etc
Responsibilities
- Invent and deploy state-of-the-art machine learning algorithms
- Share insights and breakthroughs through publications in top-tier conferences, journals, blog posts, and other mediums to showcase your work
- Survey and share relevant AI/ML research and emerging technologies within the company to help others stay abreast of important trends
- Establish and own an ambitious research agenda with regular milestones
- Frequently present your work internally and solicit feedback from other machine learning research scientists, data scientists, engineers, and clinicians
- Provide constructive feedback to other ML research scientists on the team
- Collaborate cross-functionally with clinical, engineering, and product teams to understand key needs and prioritize research accordingly
- Work in a fast-paced and rewarding environment that demands high quality work with minimal supervision
Benefits
- Medical/dental/vision benefits
- 401k
- Free One Medical membership
- Parental leave
- Remote first
- Minimal bureaucracy
