3M is looking to develop novel learning system frameworks by hiring an AI Data Science Research Specialist to work on a team that implements experimental systems, simulation infrastructure, and architecture modifications, creating real-time data management methods and new fundamental methods.
Requirements
- Strong fluency in coding, including object-oriented programming and functional idioms.
- 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.
- Familiarity with fundamental concepts of data parallelization and real time management in neural networks.
- Strong fluency in Python.
Responsibilities
- Write modular, testable code to implement real time data management methods, statistics, or architectural mechanisms.
- 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.”
- Implement experimental systems, simulation infrastructure, and architecture modifications.
- Create research code creating real time data management methods including parallelization.
Other
- 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.
- 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
