Ai Experimental Systems Research Scientist (causal Learning & Adaptive Experimentation)

3M

Maplewood, MN, United States
Base: $141,150 - $172,517; bonus/equity: variable ...
Fully remote
Ph.d. in statistics or computer science
Deep grounding in experimental design
Causal estimands and randomization schemes
This role focuses on developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments

Job Summary

  • This role focuses on developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments.
  • You will collaborate with interdisciplinary researchers to design systems where experimentation, inference, and uncertainty are first-class components of the learning process.
  • 3M offers competitive pay ranging from $141,150 to $172,517 plus a comprehensive benefits package including medical, dental, vision, and retirement plans.

Matching Summary

This role focuses on developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments.

Salary

Base: $141,150 - $172,517; Bonus/Equity: Variable incentive pay eligible; Benefits: Medical, Dental, Vision, HSA, FSA, Disability, Life Insurance, Retirement

Skills & Requirements

Must-have

  • Ph.D. in Statistics or Computer Science
  • Deep grounding in experimental design
  • Causal estimands and randomization schemes
  • Research-grade statistical implementation
  • Python programming proficiency

Nice-to-have

  • Experience with adaptive sequential experimentation
  • Familiarity with causal bandits
  • Intuition for identifiability and bias-variance tradeoffs
  • Comfort designing experiments on learning mechanisms
  • Strong communication of complex statistical ideas

Key Requirements

  • Ph.D. required prior to start
  • US-based work location (Remote)
  • Up to 20% domestic travel

Work Rights

Not specified

Tailored Resume

Cover Letter