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Philips Machine Learning Engineer in Haifa, Israel


In this role, you have the opportunity to

To be part of a company that is committed to improving the lives of 3 billion people a year by 2025 through market-driven innovations in Healthcare. We are passionate about offering our employees the challenges, responsibilities, coaching and learning opportunities needed for their personal and professional development.

You are responsible for

You are a part of

The Algorithm and Pre-Development group that is responsible for the development of advanced clinical capabilities and algorithms in collaboration with key researchers, physicians and other global research teams.

To succeed in this role, you should have the following skills and experience

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum at . Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways.

To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page at on our career website, where you can read stories from our employee blog at . Once there, you can also learn about our recruitment process at , or find answers to some of the frequently asked questions at .

  • Innovate, model, design and develop advanced clinical algorithms, mainly based on machine learning/deep learning.

  • Perform data analysis to evaluate algorithm performance.

  • Perform ongoing optimization improvements.

  • Processing of data from different sources (medical images, metadata, electronic medical record, reports, etc.).

  • Work closely with physicians and clinical scientists to build concepts and develop ideas

  • Relevant B.Sc/ M.Sc academic background in applied mathematics / computer science

  • Experience as data scientist / algorithm engineer, working with supervised and unsupervised models

  • Strong code writing and design capabilities (Python, JAVA or equivalent)

  • Knowledge and experience in image processing / NLP / medical imaging is an advantage

  • Innovative thinking to solve complex problems