AI Data Science Research Specialist

3M-posted 3 months ago
$141,150 - $172,517/Yr
Full-time • Senior
MN
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As an AI Data Science Research Specialist in 3M’s Corporate Research Laboratory, you will work on a team developing novel learning system frameworks. You will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

  • Write modular, testable code to implement real time data management methods, statistics, or architectural mechanisms.
  • Work from whiteboards, specs, and conversations—not product docs.
  • Extend an evolving codebase that supports structured learning experiments.
  • Help organize internal data structure for system components (e.g., experimental runners, memory modules, parameter schedulers).
  • Write structured logging and diagnostic tools to support hypothesis-driven debugging.
  • Collaborate with other researchers who define the 'what'; your job is to create the 'how.'
  • 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.
  • Experience working in scientific, data-intensive, or ML-related environments.
  • Comprehensive understanding of deep learning internals (embeddings, attention, optimization) and the ability to think critically about fundamental data structures and management.
  • Experience implementing statistics in a research environment including detection theory, frequentist and Bayesian methods, and estimation theory.
  • Working knowledge of neuro-symbolic AI systems.
  • Comfortable building and modifying systems from scratch.
  • Interest in systems that involve simulation, learning, or recursive dynamics.
  • Familiarity with fundamental concepts of data parallelization and real time management in neural networks.
  • Experience with visualization methods in structured probabilistic models.
  • Able to work on a team where the problem is evolving, and code is shared.
  • Curious, fast learner, solid communicator.
  • Strong fluency in Python.
  • Medical, Dental & Vision
  • Health Savings Accounts
  • Health Care & Dependent Care Flexible Spending Accounts
  • Disability Benefits
  • Life Insurance
  • Voluntary Benefits
  • Paid Absences
  • Retirement Benefits
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