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

3M UK

Maplewood, MN, US
Base: $141,150 - $172,517; bonus/equity: variable ...
Fully remote
Adaptive experimental systems
Causal estimands and inference
Rigorous experimental control
You will work on a small, deeply technical team developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments

Job Summary

  • You will work on a small, deeply technical team developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments.
  • This role focuses on how learning systems must structure experiments, manage interference and delayed effects, govern their own representations, and remain epistemically correct over time.
  • 3M offers many programs to help you live your best life – both physically and financially, and regularly benchmarks with other companies for competitive pay and benefits.

Matching Summary

You will work on a small, deeply technical team 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, if eligible; Benefits: Medical, Dental & Vision, HSA, FSA, Disability, Life Insurance, Voluntary Benefits, Paid Absences, Retirement Benefits

Skills & Requirements

Must-have

  • adaptive experimental systems
  • causal estimands and inference
  • rigorous experimental control
  • statistical theory into systems
  • research-grade statistical methods
  • general-purpose programming language

Nice-to-have

  • foundational questions about autonomous systems
  • intellectual humility
  • epistemic correctness over performance
  • reasoning about interference
  • hierarchical or clustered designs

Key Requirements

  • Ph.D. in Statistics, Biostatistics, Economics, Computer Science, Data Science, Operations Research, or related field
  • Deep grounding in experimental design and statistical inference
  • Implement research-grade statistical or experimental methods in Python
  • Experience in evolving problem definitions and correctness precedence

Work Rights

Not specified

Tailored Resume

Cover Letter