Research Specialist, AI and Data Science

Job not on LinkedIn

September 25

Apply Now
Logo of 3M

3M

Manufacturing • Healthcare • Automotive

3M is a global innovation company that operates in a multitude of sectors, offering a diverse range of products such as abrasives, adhesives, advanced materials, automotive parts, dental products, electrical components, medical supplies, personal protective equipment, and much more. Known for its commitment to science and innovation, 3M is constantly working on developing solutions that address global challenges, including sustainability efforts aimed at achieving carbon neutrality and reducing water usage. With a focus on solving both big and small problems, 3M leverages its vast portfolio of over 100,000 patents to deliver practical solutions across various industries, from healthcare and electronics to transportation and safety.

10,000+ employees

Founded 1902

📋 Description

• Collaborate on a team developing novel learning system frameworks. • Implement experimental systems, simulation infrastructure, and architecture modifications. • Write modular, testable code to implement real time data management methods, statistics, or architectural mechanisms. • Create research code for real-time data management including parallelization. • Extend an evolving codebase that supports structured learning experiments. • Help organize internal data structure for system components (experimental runners, memory modules, parameter schedulers). • Write structured logging and diagnostic tools to support hypothesis-driven debugging. • Collaborate with other researchers to translate research questions ("what") into implementations ("how"). • Work from whiteboards, specs, and conversations rather than product docs.

🎯 Requirements

• Ph.D. in Data Science, Computer Science, Software Engineering, or a related field (completed and verified prior to start) from an accredited university. • Five (5) years of experience in fundamental data science research and implementation in academic, private, public, government, or military environment. • Strong fluency in coding, including object-oriented programming and functional idioms. • Strong fluency in Python. • Experience working in scientific, data-intensive, or ML-related environments. • Comprehensive understanding of deep learning internals (embeddings, attention, optimization). • Experience implementing statistics in a research environment including detection theory, frequentist and Bayesian methods, and estimation theory. • Working knowledge of neuro-symbolic AI systems. • Familiarity with fundamental concepts of data parallelization and real time management in neural networks. • Experience with visualization methods in structured probabilistic models. • Comfortable building and modifying systems from scratch. • Interest in systems that involve simulation, learning, or recursive dynamics. • Able to work on a team where the problem is evolving, and code is shared. • Curious, fast learner, solid communicator. • Travel: up to 20% domestic travel.

🏖️ Benefits

• Medical, Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits • Relocation assistance may be authorized for relocation to Maplewood, MN • Programs to support physical and financial well-being • Pay & Benefits overview and benchmarking to ensure competitive pay

Apply Now

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