Machine Learning, Recommender Systems Intern
Company: Signify North America Corporation
Posted on: November 21, 2020
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, RECOMMENDER SYSTEMS INTERN 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, RECOMMENDER SYSTEMS INTERN, you will work
from JUNE 7TH TO AUGUST 20TH. These are not fixed dates and can be
adjusted. This internship could also lead to a full time at-will
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
Demonstrate, publish (papers) and protect (patents) novel.
WHAT YOU LL NEED
Must be able to work in the United States without corporate
sponsorship now and within the future.
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
Expertise in developing recommender systems.
Experience with big data analytics pipeline in AWS or any cloud
Good publication record, including publications in machine learning
Programming experience in Python or a similar language is required.
Knowledge of PySpark is a big plus.
WHAT YOU LL GET IN RETURN
Hands-on experience working with a Research team that you will
partner with to solve complex problems for millions of Hue Smart
Contribute to Intellectual Property (Patents and Trade-secrets) and
publish in top peer-reviewed conferences and journals.
Opportunity to learn and apply techniques to real world
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
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.
Keywords: Signify North America Corporation, Cambridge , Machine Learning, Recommender Systems Intern, Other , Cambridge, Massachusetts
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