AI / Machine Learning Engineer

3M is seeking an experienced AI/Machine Learning Engineer to join their innovative team in Maplewood, Minnesota. This role offers a unique opportunity to work at the intersection of artificial intelligence and materials science, developing cutting-edge technologies that impact multiple industries.

The position involves developing advanced machine learning, deep learning, and computer vision solutions that create new opportunities for 3M's diverse portfolio of products and technologies. You'll be working with global teams to implement solutions across various markets, from consumer products to industrial applications and worker safety.

As an AI/ML Engineer, you'll be responsible for analyzing data, creating algorithms, and developing real-world solutions that capitalize on 3M's unique materials and advanced technologies. The role requires both technical expertise and leadership skills, as you'll be guiding the development of new computational tools and systems while collaborating with cross-functional research teams.

The ideal candidate should have at least a Master's degree in a relevant field and 5+ years of experience in Data Science or Analytics. Strong programming skills in languages like Python, Java, or C++ are essential, along with experience in cloud services (Azure, AWS). Knowledge of physics or chemistry is a plus, as it helps in developing domain-informed machine learning solutions.

3M offers a competitive compensation package ranging from $122,292 to $149,468, along with comprehensive benefits including medical, dental, and vision insurance, retirement benefits, and more. The position is hybrid, requiring at least 3 days per week at the 3M Center in Maplewood, with potential for less than 10% travel.

This role presents an excellent opportunity for someone passionate about applying AI and ML to solve real-world problems in manufacturing and product development, while working with some of the most innovative minds in the industry. Join 3M to make an impact on global challenges while advancing your career in a supportive and collaborative environment.