Staff Machine Learning Scientist

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Company: Cynet Systems

Location: Chicago, IL 60629

Description:

Job Description:

Pay Range: $80.71hr - $85.71hr

Responsibilities:
  • Design, develop, and implement advanced machine learning algorithms for medical device applications, including but not limited to: image and signal processing, predictive modeling , anomaly detection, and natural language processing.
  • Research state-of-the-art AI/ML techniques and evaluate their applicability to our medical device challenges.
  • Develop and maintain clean, well-documented, and testable code.
  • Collaborate with other AI scientists and engineers to share knowledge and best practices.
  • Work with cross-functional teams (e.g., R&D, product development, regulatory affairs) to understand project requirements and integrate AI solutions.
  • Proactively identify opportunities to leverage AI to improve existing medical devices and explore new SaMD applications.
  • Stay up-to-date with the latest advancements in AI, machine learning, and relevant medical device regulations (e.g., FDA guidelines, HIPAA).
  • Contribute to the development of proof-of-concept AI solutions for medical devices.
  • Work within an Agile/Scrum framework to manage development iterations and sprints.
  • Present research findings and project updates to technical and non-technical audiences.
Requirements:
  • PhD in Computer Science, Electrical Engineering, Data Science, Statistics, Biomedical.
  • Engineering, or a related field with a strong focus on machine learning.
  • Master's degree in one of the above fields with 1-2 years of relevant industry experience developing and deploying machine learning models.
  • Strong theoretical understanding of machine learning algorithms and principles (e.g., supervised/unsupervised, deep learning, reinforcement learning, statistical modeling).
  • Proficiency in programming languages commonly used in AI/ML development (e.g., Python).
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit- learn).
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • bility to work independently and as part of a team.
  • wareness of medical device regulations and standards.
  • Must be based in Chicago, IL, and work in an office setting.
  • Travel approximately 10% of the time.
Highly Desired:
  • Prior experience with Software as a Medical Device (SaMD) development.
  • Publications in top-tier AI/ML conferences or journals.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
  • Experience with medical imaging or signal processing.
  • Prior experience working in the life sciences industry (e.g., medical devices, pharmaceuticals) or a technology company specializing in software/ML algorithm development.
  • Demonstrated experience in coordinating and managing technical projects.
  • Familiarity with Scrum and Agile development methodologies.

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