Applied Machine Learning Engineer

Signify, formerly Philips Lighting, is seeking an Applied Machine Learning Engineer to join their Research group in Burlington, Massachusetts. This role is part of their center of excellence on Artificial Intelligence (AI) and Machine Learning (ML) innovation, focused on driving AI/ML innovations for systems, IoT propositions, and innovative applications.

The position offers an exciting opportunity to work at the intersection of AI/ML and IoT, specifically in the context of connected lighting systems. You'll be developing breakthrough AI-enabled systems, working alongside research scientists to create proof-of-concept demonstrators, and building cutting-edge algorithms for IoT applications. The role involves working with data from connected lighting systems in various environments including buildings, homes, cities, and industrial facilities.

The ideal candidate should have a Master's degree in Computer Science or related field, with strong programming skills in Python, Java, and SQL. Expertise in machine learning frameworks, deep learning, and modern AI techniques is essential. The position offers a competitive salary range of $94,567 to $171,160, along with comprehensive benefits including medical insurance, 401(k) with company match, and educational support.

Signify provides a diverse and inclusive workplace, representing 99 nationalities globally, and offers significant opportunities for professional growth and development. The company's 125+ year legacy in lighting, combined with its forward-thinking approach to sustainability and innovation, makes this an excellent opportunity for someone looking to make a meaningful impact in the field of AI and IoT.

The position allows for local telecommuting with hybrid work arrangements and requires less than 10% domestic travel. This is an ideal role for someone passionate about applying AI/ML technologies to real-world applications while contributing to a more sustainable and connected future.