- Job title Principal Engineer – AI, Signal Processing & Foundation Models
- Function R&D Product Development
- Sub function R&D Machine Learning
- Category Principal Engineer, R&D Machine Learning (ST7)
- Location Yokneam / Israel
- Date posted
- Requisition number R-028564
- Work pattern Hybrid Work
Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Job Function:
R&D Product DevelopmentJob Sub Function:
R&D Machine LearningJob Category:
Scientific/TechnologyAll Job Posting Locations:
Yokneam, Haifa District, IsraelJob Description:
About Cardiovascular
Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.
Are you passionate about improving and expanding the possibilities of Cardiovascular? Ready to join a team that’s reimagining how we heal? Our Cardiovascular team develops leading solutions for heart recovery, electrophysiology, and stroke. You will join a proud heritage of continually elevating standards of care for stroke, heart failure and atrial fibrillation (AFib) patients.
Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech
We are searching for the best talent for Principal Engineer – AI, Foundation Models & Signal Processing to be in Yokneam.
Key Responsibilities:
- Advanced AI and Signal Processing Development: Design, develop, and deploy AI models for EP signal processing, applying advanced techniques including leveraging foundation models to enhance data quality and model performance.
- Data Management & Algorithm Implementation: Engage in the collection, preprocessing, and transformation of complex EP data sets, while implementing robust algorithms and pipelines to ensure reliability and accuracy in both signal analysis and AI-driven predictions.
- Technical Innovation & Problem Solving: Drive technical initiatives to solve complex EP problems using integrated AI and signal processing, staying current with industry trends to apply innovative solutions.
- Collaborative Research & Development: Collaborate with team members to integrate signal processing insights into AI-driven EP projects, sharing expertise to enhance our technical and innovative approaches.
Experience and Qualifications:
- Significant Signal Processing Expertise: At least 3 years of hands-on experience in advanced signal processing.
- Proven AI Development Experience: A minimum of 5 years of substantial, real-world experience applying AI methods to signal processing challenges.
- Foundation Model Development Experience: Experience in developing and applying Foundation Models is a strong advantage.
- Technical Proficiency: Expertise in Python, including relevant libraries (such as NumPy, SciPy, and PyTorch), and experience with tools and environments for developing and deploying complex data-driven models.
- Academic & Professional Background: An M.Sc. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field is required, though significant relevant experience may result in a lower academic requirement.
- Interdisciplinary Collaboration: Strong communication skills and proven success in collaborative, fast-paced, and innovative environments.
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