[Hiring] Staff/Senior Machine Learning Scientist @Cleveland Clinic

Role Description

Join the Cleveland Clinic team, where you will work alongside passionate caregivers and provide patient-first healthcare. We are seeking a highly skilled Applied Scientist to lead the development and implementation of state-of-the-art algorithms and machine learning models, focusing on advancing the use of Generative AI (GenAI) to address critical healthcare challenges.

As a Staff Machine Learning Scientist, you will:

• Help define the long-term AI strategy for Cleveland Clinic.
• Partner with cross-functional stakeholders to identify business needs and deliver scalable, AI-driven solutions.
• Apply advanced AI techniques to real-world healthcare problems.
• Conduct experiments to evaluate model performance.
• Contribute to the integration of AI solutions into clinical and operational systems.
• Provide strategic direction for the development and application of emerging AI technologies.

A caregiver in this role works remotely across the country Monday through Friday from 8:00 a.m. to 5:00 p.m. with up to 5% of travel required.

A caregiver who excels in this role will:

• Develop, train, fine-tune, and optimize advanced GenAI and ML models to solve important problems in healthcare.
• Design and conduct experiments to evaluate the performance of AI models.
• Collaborate cross-functionally with IT, operations, and clinical teams to develop and integrate AI solutions into existing and new products.
• Mentor and guide interns, junior staff, scientists, and engineers, depending on the level.
• Stay up to date with the latest developments in GenAI and large language models.
• Participate in the development of technology roadmaps for AI projects.
• Present project updates to team members and cross-functional partners.
• Perform other duties as assigned.

Qualifications

• MS or PhD degree in Computer Science, Engineering or related fields.
• Seven+ years of hands-on experience in AI/ML research and development with emphasis in predictive modeling, deep learning, GenAI and LLMs post PhD.
• OR 10+ years of hands-on experience in AI/ML research and development with emphasis in predictive modeling, deep learning, GenAI and LLMs post Master’s degree.
• Expertise in using AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, to build and tune foundation models.
• In-depth experience in deep learning and GenAI techniques in Natural Language Processing and multi-modal representations.
• Strong software skills in Python or other relevant programming languages.
• Ability to work cross-functionally and strong communication and interpersonal skills to convey technical concepts to non-technical stakeholders.
• Strong problem-solving skills and passion for leveraging AI in healthcare.

Requirements

• Experience developing and deploying AI technologies in healthcare.
• Familiarity with healthcare data and systems (EHR, medical imaging, etc.).
• Experience with cloud computing technologies related to AI, including Azure, Databricks, etc.
• Familiarity with MLOps best practices.

Benefits

• Competitive compensation package.
• Remote work flexibility.
• Supportive work environment.

Physical Requirements

• Ability to perform work in a stationary position for extended periods.
• Ability to travel throughout the hospital system.
• Ability to operate a computer and other office equipment.
• Ability to communicate and exchange accurate information.

Personal Protective Equipment

Follow standard precautions using personal protective equipment as required.