Job Title

Applied Machine Learning Scientist

Job Description

Philips is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status. #LI-KB1


Title:                     Applied Machine Learning Scientist

Job ID:                   

Organization:    Lighting Research North America                                             

Location:              Cambridge, MA                                               

Our Opportunity to you:

Are you someone who always comes up with great ideas and ready to use your creative mind to solve practical problems?  If that is the case, this role may be for you. With a great freedom to innovate, you will play an active role in a world-class research and front-end innovation that is at the heart of the future of the company on artificial intelligence and machine learning.  You will have a unique opportunity to make a difference by innovating new IoT applications, data and analytics enabled systems and services for the Philips Lighting business. You will have a great opportunity to create innovations and technical breakthroughs with major potential business impact, drive them to business successes, protected by relevant IP. You will conduct end-to-end innovation with the business, markets and end-customers by leveraging global teams, and the US entrepreneurial and innovative ecosystem. You will have ample opportunities to partner with world class universities. You will be encouraged to publish and secure your ideas with patents.

Your Team:

You will be working with a dynamic team of Innovators and Researchers that are the center of excellence on artificial intelligence and machine learning for IoT applications. You will be working at Philips Lighting Research North America (PLRNA) focusing on researching and developing leading-edge analytics enabled solutions for the Philips Lighting businesses; including applying smart algorithms, machine learning, artificial intelligence, IoT, cloud applications, connected lighting for smart spaces. The team works closely with Philips Lighting Research globally, partners with world-class institutes such as MIT, and leverages the North America ecosystem. We are located at the heart of Cambridge, MA.

Philips Lighting is the global leader in lighting products, systems, and services.  Our understanding of how lighting positively affects people, coupled with our deep technological know-how, enable us to deliver digital lighting solutions that unlock new business value, deliver rich user experiences, and help improve lives.  

Join us and be part of a dynamic and entrepreneurial environment with opportunities to shape a number of innovation topics and application areas that are based on artificial intelligence and machine learning.   

Your Responsibilities

You will apply your AI/ML knowledge to develop innovative solutions, and build first-of-a-kind proof-of-concept demonstrators using data coming from IoT devices and connected lighting systems. Your work will involve agile development of novel systems and services. Being part of our front-end innovation organization, you will actively scout, keep track of, evaluate, and leverage disruptive technologies, and emerging industrial, academic, technological and socioeconomic trends. In addition, you will transfer technology, and share insights and best practices across innovation teams.  You will generate intellectual property for the company.  We look at you to surprise us in building breakthrough AI-enabled IoT systems leveraging connected lighting and apply modern AI techniques to create value form the data collected and generated by our install base. These AI enabled systems and services go beyond illumination, new IoT applications that leverage the ubiquitous connected nodes of lighting in buildings, homes, cities, retail, industrial facilities, etc. 

Your Challenge:

You will be challenged to be influential and make a positive difference in a well-established team that is the center of excellence for the company on AI/ML Research. Further, you will need to establish yourself as a thought leader in your area of expertise. Strong communication skills are essential to deliver your message globally across various stakeholders/teams with diverse backgrounds and focus areas spanning scientific research, development, engineering, business, marketing/sales, and management. You will be working in a very agile, dynamic environment leading/supporting ongoing activities while starting new ones. Therefore, success in this role highly relies upon excellent multitasking and time management skills.


  • PhD degree in Computer Science, Electrical Engineering or related fields
  • Strong knowledge of AI, deep learning, and  machine learning algorithms with proven experience, including strong knowledge of the mathematical underpinning behind these algorithms.  
  • Strong familiarity and experience with data storage principles and systems (e.g. MySQL, etc); Distributed computing such as Hadoop, Spark; Cloud technology (e.g. AWS) and data visualization tools.
  • Experience in using multiple data sources to develop strategies with outputs that are insightful and actionable
  • Strong Programming experience with C/C++, Java, Python, JavaScript or other related tools
  • Strong experience with opensource technologies to accelerate innovation
  • Strong interpersonal, communication, and presentation skills as well as  ability to work in a global team

    Skills and experience in some of the following areas would be a plus:

  • Natural Language Processing
  • Experience with distributed software systems, computer networking and big data analytics infrastructure
  • Experience with social media data and analytics
  • Proficiency in software API design and access control to enable new services and applications
  • Experience in data engineering and visualization
  • Understanding of IoT frameworks and edge computing
  • Prior agile/Scrum experience

    Philips Lighting is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status.

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Confirmed 20 minutes ago. Posted 30+ days ago.

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