Graphical Deep Learning Intern
We are Signify, the new company name of Philips Lighting.
We’re the world leader in lighting for professionals, consumers and for the Internet of Things. Our passion for sustainability makes us one of the top 10 greenest companies in the world.
See #SignifyLife through the eyes of our employees!
Working as a Graphical Deep Learning Intern at Signify is dynamic. You will work in the area of machine learning for mobile platforms developing new algorithms on data from various sensors in the smart phones/watches to enable interactions with connected lighting system. Towards the end of the internship, you will be expected to share work in the form of a demo and technical report with other colleagues in the group. You will also be working in a team setting with scientists, taking initiatives, and contributing highly innovative ideas. Previous internships in our group have led to several publications and/or patent filings.
This internship role is part of Signify Research located in Cambridge, MA, a center of excellence on Artificial Intelligence and Machine learning Innovation for Signify. The team works together with the Signify global Research, businesses and functions on AI/ML. Its responsibilities are at the heart of driving AI/ML innovations for systems, new IoT propositions, and innovative apps. If you are someone who always comes up with great ideas and ready to use your creative mind to solve practical problems, this internship role may be for you. You will learn and apply new cutting-edge techniques that will be rewarding for your career. With a great freedom to innovate, you will play an active role and grow yourself on AI and ML.
This internship will start on June 1st and end on August 21st. These are not fixed dates and can be adjusted.
What you’ll do
- Build a deep learning platform for time series to exploit the insights from our lighting IoT sensor data,
- Build graphical model-based recommendation engine for system efficiency optimization;
- Build graphical model based deep learning algorithm for event or activity detection;
- Build a demo to show real-time event detection and recognition
What you’ll need
- PhD or master student whose research focuses on Bayesian inference and machine learning
- Good software engineering skills with Python is required. Knowledge with Java and/or C is a plus.
- Experience with machine/deep learning framework such as SKLearns and Keras. Knowledge with PyTorch, and/or TensorFlow is a plus.
- Experience with cognitive psychology, evidence-based design, human factors research
- Experience with database including SQL, NoSQL, RDS, etc.
What you’ll get in return…
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
What we promise
We’re committed to the continuous development of our employees, using our learning to shape the future of light and create a sustainable future. Join the undisputed leader in the lighting industry and be part of our diverse global team. #LI-FM1 #WeAreSignify #SignifyLife