Deep Learning, Aquaculture Intern
Cambridge, MA 
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Posted 6 days ago
Job/Internship Description

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.

Seethrough the eyes of our employees!

Working as a Deep Learning, Aquaculture 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.

These internships are a part of Signify' s Research team located in Cambridge, MA. It 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 Deep Learning, Aquaculture 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 position.

What you'll do

  • Survey literature on prior work and suitable ML approaches to solve the given problem.

  • Conceptualize, build and validate an AI engine that becomes core part of the proposed solution.

  • Demonstrate (customer pilots), publish (papers) and protect (patents) novel ideas.

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, engineering, or other related disciplines.

  • Experience with end to end big data analytics infrastructure pipeline development in AWS or any cloud provider.

  • Programming experience in Python, C++ or a similar language is required.

  • Expertise in developing deep learning applications using libraries and platforms, such as Keras, TensorFlow, and Pytorch.

  • Experience in developing cutting edge machine learning research applications by applying image processing, image classification, and image segmentation for large scale problems.

  • The candidate must be able to work within a team environment and should be self-motivated with the ability to plan and execute.

What you'll get in return...

  • Hands-on experience on solving challenges in precision agriculture using AI/ML

  • 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 problems.

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


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.

 

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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