Materials AI/ML Specialist

Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

• Applying AI/ML methods (e.g., Bayesian optimization, cheminformatics, active learning, AI hypothesis generation) to guide and accelerate experimental planning for new liquid adhesive and pressure-sensitive adhesive (PSA)/tape formulations
• Running hands-on formulation, mechanical, and performance testing (e.g., overlap shear, DMA, handling strength) to generate high-quality data for AI/ML-driven analysis
• Analyzing formulation, process, and performance data using statistical and machine learning approaches to extract insights that drive faster, better technical decisions
• Continuously expanding your AI/ML capabilities - including techniques such as Bayesian optimization and generative AI/LLM-assisted literature mining - and applying them to live product development challenges
• Using and helping evolve shared digital tools and platforms for experiment planning, data analysis, and knowledge capture
• Sharing insights and learnings across programs to strengthen data-driven development practices more broadly
• Communicating technical findings clearly to cross-functional stakeholders, including chemists, engineers, and business leaders
• Balancing lab time and analytical work across multiple concurrent development programs
• Operating with a high degree of independence in a fast-paced R&D environment, quickly picking up new formulation, testing, and lab safety protocols as needed

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Bachelor's degree in Chemistry, Materials Science, Chemical Engineering, or a related field (completed and verified prior to start)
• Three (3) years of experience in new product development, formulation, or experimental/lab work, in an academic, private, public, government, or military environment
• Two (2) experience using AI/ML or data science tools within your own experimental/lab work (e.g., machine learning, AI hypothesis generation, design of experiments software, statistical modeling, data analysis tools) , with a demonstrated desire and aptitude to expand this skill set

• Master's degree or higher in Chemistry, Materials Science, Chemical Engineering, or a related field
• Five (5) or more years of hands-on new product development or formulation experience
• Hands-on experience with adhesive, PSA, tape, coating, or polymer formulation and mechanical testing (e.g., overlap shear, DMA, handling strength)
• Familiarity with Bayesian optimization, active learning, surrogate modeling, or other sequential/statistical design-of-experiments techniques
• Exposure to large language models (LLMs) or generative AI tools for materials discovery, hypothesis generation, or literature mining
• Working knowledge of Python and common ML/data science libraries (e.g., PyTorch, Scikit-Learn, Pandas)
• Strong communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholder groups
• Comfortable managing competing priorities across multiple concurrent programs in a fast-paced, evolving R&D environment
• Curious, fast learner, solid communicator, self-directed in acquiring new technical skills

• This role follows an on-site working model, requiring the employee to work at least four days a week at the 3M Center in Maplewood, MN

3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. 

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

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