URGENT: Machine Learning Scientist, Locations: Chicago, New York, Remote

🌍 Remote, USA 🎯 Full-time πŸ• Posted Recently

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 You’ll 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 team’s 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

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