URGENT: Machine Learning Scientist, Locations: Chicago, New York, Remote
Posted 2025-05-22
Remote, USA
Full-time
Immediate Start
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 Job!