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