What are the responsibilities and job description for the Staff Machine Learning Scientist position at Cynet Systems?
Job Details
We are looking for Staff Machine Learning Scientist for our client in Chicago, IL
Job Title: Staff Machine Learning Scientist
Job Type: Contract
Job 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.
- 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.
- Ability to work independently and as part of a team.
- Awareness of medical device regulations and standards.
- Must be based in Chicago, IL, and work in an office setting.
- Travel approximately 10% of the time.
- 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, Google Cloud Platform).
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $81 - $86
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