Overview In this role you develop and validate advanced AI/ML solutions for medical devices, partnering with researchers and product teams to transform research into practical healthcare applications. You'll design models, build data pipelines, and evaluate performance to support cross-functional workflows in orthopedics, wound care, and sports medicine. You will mentor others and contribute to a collaborative AI Center of Excellence, shaping impactful medical technology.
Compensation / Benefits- 401k Matching Program
- Tuition Reimbursement
- Flexible Personal/Vacation Time Off
- Health Benefits including Medical, Dental, Vision
- Parental Leave
- Employee Assistance Program
Responsibilities- Develop, implement, and validate AI/ML solutions for healthcare and medical device applications
- Design, train, tune, and evaluate ML/DL models using leading frameworks and tools
- Research emerging AI techniques and assess their real-world healthcare relevance
- Build and maintain data pipelines, scripts, and internal tools to support experimentation
- Prepare and curate structured and unstructured datasets with effective feature engineering
- Run experiments, analyze results, and validate model performance using statistical methods
- Collaborate with AI researchers, R&D engineers, and product teams to integrate AI into solutions
- Document approaches, findings, and model behavior to inform product development
- Mentor less experienced engineers and support team success
Key requirements- Bachelor's degree (Master's/Doctoral preferred) in relevant fields
- 3-6 years of experience applying ML in research, academia, or industry
- Strong Python skills and experience with NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras
- Experience building end-to-end ML workflows from data prep to prototyping
- Solid understanding of statistical modeling, data analytics, and experimental design
- Ability to communicate complex findings to diverse audiences
- Ability to work independently on complex technical challenges in a fast-paced, collaborative environment
- Ability to travel up to 5%
- strong communication of technical concepts
- mentoring and collaboration
- problem-solving mindset
- Python
- NumPy
- Pandas
