Senior Machine Learning Algorithem Engineer

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 Development

Job Sub Function:

R&D Machine Learning

Job Category:

Scientific/Technology

All Job Posting Locations:

Yokneam, Haifa District, Israel

Job 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 Senior Machine Learning Algorithem Engineer to be in Yokeneam.

Introduction:

We are advancing electrophysiology (EP) research and development by applying cutting-edge AI to solve high-impact problems in healthcare. We’re looking for a developer with 1–2 years of hands-on AI experience and a strong academic background in a relevant technical field. This role offers the opportunity to work on meaningful projects that combine AI with unique healthcare challenges, with exposure to complementary techniques such as signal analysis.

Key Responsibilities:

AI Model Development: Build, train, and evaluate machine learning models for EP-related applications.

Innovation & Problem-Solving: Apply AI methods creatively to address complex R&D challenges in EP.

Collaborative Development: Contribute to interdisciplinary projects, working closely with engineers, researchers, and domain experts.

Data Preparation & Analysis: Assist in preparing and processing datasets for AI workflows, ensuring quality and reliability.

Continuous Learning: Keep up with advancements in AI tools, methods, and best practices.

Experience and Qualifications:

Core AI Skills:

1–2 years of experience in AI/machine learning.

Proficiency in Python and common AI frameworks (such as PyTorch, TensorFlow, scikit-learn).

Academic Background: Bachelor’s or Master’s degree (preferable) in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with AI/ML-focused coursework or projects.

Additional Knowledge (Advantage): Familiarity with working on time-series or signal-like data is a plus.

Soft Skills: Strong problem-solving skills, eagerness to learn, and ability to work effectively in a collaborative setting.

Why Join Us?

Join a team where your AI skills make a direct impact on advancing medical technology. You’ll be supported by experienced mentors, work on exciting real-world applications, and gain valuable exposure to techniques beyond core AI – all while contributing to innovations that can improve and save lives.

#LI-Hyberid #LI-LM5

Required Skills:

Preferred Skills:

Artificial Intelligence (AI), Coaching, Cognitive Computing, Critical Thinking, Cross-Functional Collaboration, Curious Mindset, Data Structures, Distributed Computing, Emerging Technologies, Human-Computer Relationships, Machine Learning, Persistence and Tenacity, Program Management, Research and Development, SAP Product Lifecycle Management, Scripting Languages, Technologically Savvy