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 part of Signify's center of excellence for AI and ML innovation, where you'll be developing breakthrough AI-enabled systems and services.

The role involves creating cutting-edge algorithms and frameworks for IoT systems, working alongside research scientists to develop AI/ML solutions, and delivering innovative proof-of-concept demonstrators. You'll be working with data from IoT devices and connected lighting systems, contributing to the development of reusable tools for reproducible ML, and handling model deployment and data ingestion.

As an ideal candidate, you'll need a Master's degree in Computer Science or related field, with strong programming skills in Python, Java, and SQL. The role requires expertise in machine learning techniques, including supervised and unsupervised methods, deep learning frameworks like PyTorch and Keras, and experience with NLP tools such as BERT and GPT.

Signify offers a comprehensive benefits package including medical insurance, 401(k) with company match, stock purchase plans, and tuition reimbursement. The company promotes a diverse and inclusive workplace, representing 99 nationalities globally, and offers significant opportunities for professional growth and development. With a 125+ year legacy and a focus on sustainability, Signify provides an environment where innovation and creativity thrive.