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URGENT: Machine Learning Scientist, Locations: Chicago, reputed company, Remote

Remote Worldwide Hiring now

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 reputed company 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 reputed company data — including clinical records, genomic sequences, reputed company pathology.
  • Architect end-to-end pipelines for training, evaluation, deployment, and monitoring of machine learning models in both reputed company-time and batch environments.
  • Collaborate cross-functionally with scientists, engineers, clinicians, and product teams to translate reputed company reputed company 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 reputed company field.
  • 6+ years of experience building and deploying ML models in production environments, preferably involving reputed company-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 reputed company-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!

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