Machine Learning Engineer
Superluminal Medicines Inc.
full-time
Posted on:
Location Type: Remote
Location: Massachusetts • United States
Visit company websiteExplore more
Tech Stack
About the role
- Implement algorithms for hit identification through virtual screening and other high throughput computational methods as part of a cross-functional team
- Adapt and implement cutting-edge ML architectures for co-folding to augment our extensive internal structural biology expertise and capabilities
- Design and deploy active learning frameworks that utilize experimental assay results to iteratively improve model performance and reduce the number of "Design-Make-Test-Analyze" cycles leveraging state-of-the-art de novo design, ADMET predictions, and affinity predictions
Requirements
- Ph.D. preferred in Computer Science, Machine Learning, Engineering or a related field, or BS/MS + seasoned experience
- Proven experience with protein-ligand co-folding algorithms (e.g., Boltz, AlphaFold, OpenFold, etc) and the ability to integrate these structural insights into broader ML discovery pipelines.
- Advanced proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow) is required. You must be capable of building and maintaining production-quality code and data pipelines.
- Exceptional ability to communicate the "why" behind a design to a diverse scientific audience.
Benefits
- Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningalgorithmsco-foldingPythondeep learningBoltzAlphaFoldOpenFolddata pipelinesactive learning
Soft Skills
communicationteam collaborationproblem-solvingadaptabilitycritical thinkinginterpersonal skillspresentation skillsanalytical skillscreativityleadership
Certifications
Ph.D. in Computer SciencePh.D. in Machine LearningPh.D. in EngineeringBS in Computer ScienceMS in Computer ScienceBS in EngineeringMS in Engineering