Your Challenge:

We are offering an Machine Learning for for Smarter Platforms internship for our data science workbench project, which enables data scientists, researchers, business to explore, prepare, refine, analyze, and visualize big data interactively and collaboratively using machine learning modules and open source tools.

Your Responsibilities:

• Develop core functions of the data science workbench

• Backend development using Python/Java and some front-end development

• Work closely with software engineering and data scientist team from top universities such as MIT

• Actively pursuing an advanced degree (PhD or MS) in computer science or computer engineering.
• Extensive programming experience in Python, Java.
• Basic knowledge on RESTful APIs and web framework (Django, Dropwizard, or Spring framework).
• Familiar with machine learning concepts and machine learning libraries.
• Strong preference for programming experience in Spark framework and PySpark.
• Additional preferred skills on front-end development using Angularjs and JavaScript.
• Able to work within a team environment and should be self-motivated with the ability to plan and execute.
• Able to communicate in English effectively, both written and verbal.

Make an impact on innovations that matter.

Everything starts with light. Light moves cities, carries information, and comforts mind and body. In today’s digital age, lighting is being redefined. It’s no longer just about illuminating. It’s about connecting, responding and transforming.

At Philips Lighting, we’re at the forefront of this wave of innovation. We’re developing technologies and systems that are changing how people see and experience their world. We’re the leading lighting company for the Internet of Things, building brighter, smarter cities and homes, and bringing greener, better light to people across the globe.

We want people with a game-changing mentality, to help us create the light of the future. We’re building a team of people who value innovation, and who are ready to make an impact both in their careers and the world they live in.