Materials AI/ML Specialist

About this role

Job Description:

Materials AI/ML Specialist

Collaborate with Innovative 3Mers Around the World 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.

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

The Impact You’ll Make in this Role

As a Materials AI/ML Specialist, you will apply artificial intelligence and machine learning techniques to accelerate new product development in formulation science. Partnering closely with product developers, you will help modernize how experiments are planned, run, and analyzed - bringing data-driven speed to lab-based innovation. Here, you will make an impact by:

• 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

Your Skills and Expertise  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

Additional qualifications that could help you succeed even further in this role include:

• 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

Work location: • 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

Travel: May include up to 5% domestic travel Relocation Assistance: May be authorized

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Supporting Your Well-being   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. 

Chat with Max 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.

Applicable to US Applicants Only:The expected compensation range for this position is $145,676 - $178,049, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.

Good Faith Posting Date Range 09/03/2026 To 10/03/2026 Or until filled

Similar jobs

• Principal AI/ML Engineer — Abbott · United States > Santa Clara : Building A - SC
• Principal AI/ML Engineer — Pragmatike · San Francisco
• Sr AI/ML Engineer — SNC · Lone Tree, CO | Sparks, NV | Longmont, CO
• Staff AI/ML Engineer — Sigmacomputing · New York City, NY
• Staff AI/ML Engineer — Sigmacomputing · San Francisco, CA
• Staff AI/ML Engineer — Dragos · Remote
• Lead AI/ML Engineer — Capitaltg · Remote
• Lead AI/ML Engineer — Attaintalent · Remote