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Philips Scientist in Moskva, Russia


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

  • Proven capabilities in the domain of machine learning and hands-on experience with a particular sub-fields such as deep learning (e.g. convolutional neural networks, restricted Boltzmann machines, recurrent neural networks, etc.);

  • PhD in computer science or another relevant area providing good foundation in computer and data science, applied mathematics (including statistics, artificial intelligence, probability theory, etc.), or an MA/MSc with several years of relevant experience;

  • Strong analytical skills, curious, proactive, fast learner able to quickly pick up new areas;

  • Business acumen and understanding of business, market, and customer needs;

  • Good communication and interpersonal skills, with the ability to build strong personal relationships at all levels, both internal and external to Philips Research;

  • Affinity to the research way of working; Team player in multidisciplinary international setting, able to manage uncertainties and adapt quickly;

  • Experience with tools such as R, Python, TensorFlow, etc.

  • Experience with high performance / distributed computing is a plus.

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. Learn more by watching this video .

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 .