Machine Learning Intern, Recommender Systems
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 Machine Learning Intern, Recommender Systems at Signify is dynamic. You will work with top technology partners, learn new skills and grow your career. Your work will make a huge and high-tech impact with the world of lighting. We have over 16,000 patents and invest around 5% of our sales in R&D. We are looking for technical professionals who will take our innovations and help us invent the future of lighting.
This internship is a part of Signify’ s Research team located in Cambridge, MA and is considered 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/M innovations for systems, new IoT propositions, and innovative apps. 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.
As a Machine Learning Intern, Recommender Systems, you will work from June 1st to August 21st. These are not fixed dates and can be adjusted.
What you’ll do
- Design context-aware adaptive scene recommendation solutions for our connected home lighting systems.
- Build an AI engine that becomes core part of the proposed solution.
- Demonstrate, publish (papers) and protect (patents) novel.
What you’ll need
- A graduate-level student (PhD preferred) in computer science, or any related disciplines
- Experience in analyzing variety of data at scale.
- Excellent understanding of machine learning concepts and algorithms.
- Expertise in developing recommender systems.
- Experience with big data analytics pipeline in AWS or any cloud provider.\
- Good publication record, including publications in machine learning venues.
- Programming experience in Python or a similar language is required. Knowledge of PySpark is a big plus.
- The candidate must be able to work within a team environment, should be self-motivated with the ability to plan and execute.
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. #WeAreSignify #SignifyLife