Applied Machine Learning Engineer

Signify, formerly known as Philips Lighting, is seeking an Applied Machine Learning Engineer to join their Research group in Burlington, Massachusetts. This role represents an exciting opportunity to work at the intersection of AI/ML and IoT, specifically focusing on connected lighting systems. The position is ideal for candidates with a strong foundation in machine learning and software engineering, offering a chance to develop cutting-edge AI-enabled systems and services.

The role involves working with research scientists to create innovative proof-of-concept demonstrators using data from IoT devices and connected lighting systems. You'll be developing breakthrough applications that leverage ubiquitous connected nodes in various settings - from buildings and homes to cities and industrial facilities. The position offers a hybrid work arrangement with local telecommuting permitted.

Signify offers a comprehensive benefits package including medical insurance, 401(k) with company match, stock purchase plans, and tuition reimbursement. The company prides itself on its 125+ year legacy and commitment to sustainability, while maintaining a strong focus on innovation in AI and data analytics. With a global workforce representing 99 nationalities, Signify provides an inclusive environment that values diversity and fosters creativity.

The ideal candidate will have a Master's degree in Computer Science or related field, with expertise in Python, Java, and various ML frameworks. This role offers an excellent opportunity to shape the future of smart lighting and IoT while working with a leader in the lighting industry. The position combines technical challenges with real-world applications, making it perfect for someone passionate about applying ML to practical solutions.