Job Description
Job Summary Are you a seasoned machine learning expert looking to apply your skills in a high-impact, mission-driven industry? A top-tier healthtech company is seeking a Machine Learning Scientist to design and deploy cutting-edge ML systems that drive personalized medicine, clinical insights, and therapeutic decision-making at scale. What Youβll Be Doing: β’ Build and scale robust ML systems that ingest, process, and analyze multimodal healthcare data β including clinical records, genomic sequences, and digital pathology. β’ Architect end-to-end pipelines for training, evaluation, deployment, and monitoring of machine learning models in both real-time and batch environments. β’ Collaborate cross-functionally with scientists, engineers, clinicians, and product teams to translate complex healthcare problems into production-grade ML solutions. β’ Drive innovation through experimentation, benchmarking, and integration of state-of-the-art ML research. β’ Mentor junior scientists and contribute to the teamβs technical strategy. You Bring: β’ Ph.D. or M.S. in Computer Science, Machine Learning, Applied Mathematics, or a related field. β’ 6+ years of experience building and deploying ML models in production environments, preferably involving real-world, messy datasets. β’ Strong software engineering skills; comfortable designing scalable systems with Python, PyTorch, TensorFlow, and distributed computing tools (e.g., Spark, Airflow, Kubernetes). β’ Experience with multimodal data integration (e.g., structured, text, imaging, genomic) is a strong plus. β’ Familiar with MLOps, model performance monitoring, and ML system reliability. Why You Should Apply: β’ Solve real-world problems in precision medicine, cancer care, and genomics. β’ Join a world-class interdisciplinary team working at the frontier of machine learning and life sciences. β’ High visibility, technical ownership, and the opportunity to shape ML strategy at scale. β’ Competitive compensation and relocation support available. Job Type: Full-time Pay: From $130,000.00 per year Benefits: β’ Dental insurance β’ Health insurance Schedule: β’ 8 hour shift Education: β’ Master's (Preferred) Experience: β’ Machine learning: 5 years (Required) β’ PyTorch: 3 years (Required) β’ TensorFlow: 3 years (Required) β’ Natural language processing: 3 years (Required) β’ multimodal machine learning: 3 years (Preferred) Work Location: Remote Apply Job! Apply tot his job