Machine Learning Engineer

Currently recruiting a ML Engineer position within a burgeoning life sciences business that are leveraging advanced machine learning and LLMs within the biomarker data sphere.

You will be a Machine Learning Engineer with expertise in LLMs and bioscience applications (beneficial) to join their multidisciplinary team of scientists, engineers, and researchers.

In this role, you will design, fine-tune, and deploy models that can interpret biological datasets, extract knowledge from biomedical literature, and support discovery in genomics, proteomics, drug development, and clinical research.

• Develop and optimize machine learning and LLM-based models for large-scale biological and biomedical datasets
• Fine-tune and adapt LLMs for tasks such as literature mining, protein/gene annotation, clinical text interpretation, and drug-target prediction
• Build pipelines that integrate structured data (omics, imaging, EHR) with unstructured data (scientific papers, clinical notes, patents)
• Collaborate with domain experts to translate bioscience research challenges into computational solutions
• Contribute to scalable, production-ready ML/LLM systems that support both research and product teams

Qualifications

• Bachelor’s or Master’s in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or related field (PhD a plus)
• Strong programming skills in Python and experience with ML/LLM frameworks (PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.)
• Experience fine-tuning or adapting LLMs for domain-specific applications
• Familiarity with biomedical ontologies, NLP for scientific literature, or clinical text mining is a strong plus
• Hands-on experience with biological, biomedical, or clinical datasets preferred
• Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps best practices

Why Join Us

• Be part of a mission-driven company advancing the future of healthcare and biotechnology with AI and LLMs
• Collaborate with leading experts in bioscience and machine learning
• Competitive compensation package with equity options
• Comprehensive health, dental, and vision benefits
• Hybrid work environment in the heart of New York City