Sensor Data Learning - Spring 2022 Internship
Burlington, MA  / Franklin Township, NJ 
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Job/Internship Description
Your responsibilities & requirements

We are...

Signify, the new company name of Philips Lighting, is the undisputed leader in the lighting industry. Our purpose is to unlock the extraordinary potential of light for brighter lives and a better world.

You will join the leader in the lighting industry and learn through disruptive challenges. You will be part of a global team, where performance is powered through diversity. Help us shape the future of light in the Internet of Things and work with us on our commitment to achieve a more sustainable future.

Join us and #findyourmeaning at Signify.

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.

Together we can...

Build an IoT data analytics platform to connect people, lighting, and facility with machine learning algorithms. Responsibilities include

  • Design and develop probabilistic machine learning algorithms using lighting IoT sensor data;
  • Explore deep learning and probabilistic approaches to fuse multi-modality sensor data;
  • Develop and optimize the real-time algorithms for running on IoT devices and in the cloud;

You are...

Open minded, curious and innovative and aligned with our company values and aims and you bring the following experiences and competencies:

  • PhD or master student whose research focuses preferably on Bayesian inference and machine learning;
  • Good software engineering skills with C, Python, Java, etc.;
  • Experience with a deep learning framework such as SKLearns, PyTorch, TensorFlow, Keras, etc.;
  • Experience with cognitive psychology, evidence-based design, human factors research;
  • Experience with database including SQL, NoSQL, RDS, etc.

Towards the end of the internship, we will ask the intern to prepare a technical report as well as a presentation for the department. Duration (~start/end dates):Jan 10th - May 27th 2022

Who we are

Signify is the world leader in lighting. We provide professional customers and consumers with quality, energy-efficient LED lighting. And our lights, when connected, bring data to devices, apps and people - redefining what light can do and how you use it. Today, our innovations, such as Philips Hue, LiFi - internet connectivity through light - and UV-C, solar and horticultural lighting, contribute to a safer, smarter, more sustainable world. Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025. We're operating in 74 countries with 32,000 people worldwide.

#LI-AR1

Disclaimer:

Concerning US based roles: Signify 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. As an equal opportunity employer, Signify is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.

Pay Transparency Nondiscrimination Policy: Signify North America Corporation ("Signify") will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by Signify, or (c) consistent with Signify's legal duty to furnish information.

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Position Summary
Start Date
As soon as possible
Employment Type
Full Time
Period of Employment
Open
Type of Compensation
Paid
College Credits Earned
No
Tuition Assistance
No
Required Student Status
Open
Preferred Majors
Other
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