Machine Learning Engineer jobs in United States
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Superluminal Medicines Inc. · 3 hours ago

Machine Learning Engineer

Superluminal Medicines Inc. is a generative biology and chemistry company revolutionizing the speed and accuracy of small molecule medicine creation. They are seeking a high-impact Machine Learning Developer/Engineer to develop and deploy state-of-the-art ML models that drive drug discovery and collaborate with scientists across various disciplines.

BiotechnologyMedicalPharmaceutical

Responsibilities

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

Qualification

Machine LearningPythonProtein-ligand co-foldingDeep learning frameworksProduction-level codeInnovation in ML/AIContainerization technologiesCommunication skillsDocumentation

Required

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

Preferred

Expert-level knowledge of deep learning frameworks, specifically for affinity prediction, ADMET modeling, and the application of LLMs in a biological or chemical context
Expertise fine-tuning existing models with internally generated structural biology and biology data
Experience deploying ML/AI algorithms for use by a cross-functional scientific audience
1-4+ years of experience in a biotech or pharma setting

Company

Superluminal Medicines Inc.

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Superluminal Medicines is a Boston-based generative biology and chemistry company developing a differentiated pipeline and revolutionizing the speed and accuracy of how medicine is created.

Funding

Current Stage
Early Stage
Total Funding
$153M
Key Investors
Eli LillyRA Capital Management
2025-08-14Corporate Round
2024-09-09Series A· $120M
2023-08-28Seed· $33M

Leadership Team

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Ajay Yekkirala, PhD
Co-Founder and SVP, Head of Discovery
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Company data provided by crunchbase