Staff/Senior Machine Learning Scientist

Cleveland Clinic

3d • Remote

About The Position

We are seeking a highly skilled Applied Scientist to lead the development and implementation of state-of-the-art algorithms and machine learning models, with a focus 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, partnering with cross-functional stakeholders to identify business needs and deliver scalable, AI-driven solutions.
We are seeking a highly skilled Machine Learning Scientist to lead the development and implementation of state-of-the-art algorithms and machine learning models, with a focus on advancing the use of Generative AI (GenAI) to address critical healthcare challenges. As a Senior or Staff Machine Learning Scientist, you will collaborate with business and clinical stakeholders across various functions to understand complex business needs, define and advance AI strategies, and deliver innovative, scalable, AI-driven solutions. You will apply advanced AI techniques to real-world healthcare problems, conduct experiments to evaluate model performance, and contribute to the integration of AI solutions into clinical and operational systems. At the Staff level, you will also help shape the long-term AI strategy for Cleveland Clinic and provide strategic direction for the development and application of emerging AI technologies. To be successful in this role, you will bring a strong machine learning background, solid software development skills, and a passion for applying emerging technologies to improve healthcare.
The level of Machine Learning Scientist will be based on your experience and educational background:
Staff Machine Learning Scientist
Senior Machine Learning Scientist
A caregiver in this role works remotely across the country Monday through Friday from 8:00 a.m. -- 5:00 p.m. with up to 5% of travel required.

Requirements

• 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 leaning, GenAI and LLMs post PhD
• OR 10+ years of hands-on experience in AI/ML research and development with emphasis in predictive modeling, deep leaning, 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 concept to non-technical stakeholders
• Strong problem-solving skills and passion for leveraging AI in healthcare
• Master’s degree in Statistics, Computer Science, Machine Learning, Economics, Applied Math, Engineering, or related fields
• Seven years of hands-on experience in AI/ML research and development with emphasis in predictive modeling, deep leaning, GenAI and LLMs
• OR a PhD and four years of hands-on experience in AI/ML research and development with emphasis in predictive modeling, deep leaning, GenAI and LLMs post PhD
• Ability to take a project from requirements gathering and design to actual product launch

Nice To Haves

• 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
• PhD

Responsibilities

• 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.

Benefits

• The compensation range provided corresponds to the Staff Machine Learning Scientist or Senior Machine Learning Scientist position. Individual pay rates may vary depending on Education Background and Relevant Experience

What This Job Offers

• Job Type: Full-time
• Career Level: Senior