Philips Lighting Applied Machine Learning Scientist PhD REQUIRED in Cambridge, Massachusetts
Signify, the new company name of Philips Lighting, is the global leader in lighting building on 125+ years of innovations.
Our purpose is to unlock the extraordinary potential of light for brighter lives and a better world.
We are proud to be ahead of the game in the Internet of Things and on track to be carbon neutral by 2020. We learn through disruptive challenges and our performance is powered through our diverse teams. Our Philips products, interact connected lighting systems, and data-enabled services transform people’s lives in homes, buildings, and public spaces.
We define the meaning of light…join us to #findyourmeaning @ Signify!
This role is part of Research Americas. Its responsibilities are at the heart of driving lighting research, so aspiring for innovation must be in your DNA.
Together we can…
play an active role in a world-class research and front-end innovation that is at the heart of the future of the company on artificial intelligence and machine learning. 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..
You will apply your AI/ML knowledge to develop innovative solutions, and build first-of-a-kind proof-of-concept demonstrators using data coming from IoT devices and connected lighting systems. Your work will involve agile development of novel systems and services. Being part of our front-end innovation organization, you will actively scout, keep track of, evaluate, and leverage disruptive technologies, and emerging industrial, academic, technological and socioeconomic trends. In addition, you will transfer technology, and share insights and best practices across innovation teams. You will generate intellectual property for the company. We look at you to surprise us in building breakthrough AI-enabled IoT systems leveraging connected lighting and apply modern AI techniques to create value form the data collected and generated by our install base. These AI enabled systems and services go beyond illumination, new IoT applications that leverage the ubiquitous connected nodes of lighting in buildings, homes, cities, retail, industrial facilities, etc.
PhD degree in Computer Science, Electrical Engineering or related fields
Strong knowledge of AI, deep learning, and machine learning algorithms with proven experience, including strong knowledge of the mathematical underpinning behind these algorithms.
Strong familiarity and experience with data storage principles and systems (e.g. MySQL, etc); Distributed computing such as Hadoop, Spark; Cloud technology (e.g. AWS) and data visualization tools.
Experience in using multiple data sources to develop strategies with outputs that are insightful and actionable
Strong experience with opensource technologies to accelerate innovation
Strong interpersonal, communication, and presentation skills as well as ability to work in a global team
Skills and experience in some of the following areas would be a plus:
Natural Language Processing
Experience with distributed software systems, computer networking and big data analytics infrastructure
Experience with social media data and analytics
Proficiency in software API design and access control to enable new services and applications
Experience in data engineering and visualization
Understanding of IoT frameworks and edge computing
Prior agile/Scrum experience
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. #LI-FM1