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

3M

Remote, 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 environments

Job Summary

  • This role focuses on developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex environments.
  • The position requires designing rigorous experimental machinery to ensure identifiability, causal validity, and epistemic calibration in real-world settings.
  • 3M offers competitive pay ranging from $141,150 to $172,517 along with comprehensive benefits 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 environments.

Salary

Base: $141,150 - $172,517; Bonus/Equity: Variable incentive pay eligible; Benefits: Medical, Dental, Vision, HSA, 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 skills

Nice-to-have

  • Adaptive or sequential experimentation experience
  • Familiarity with causal bandits
  • Experience with nonstationary systems
  • Hierarchical experimental designs
  • Epistemic correctness over performance

Key Requirements

  • Ph.D. required prior to start
  • US-based work location required
  • Verification of education and work history

Work Rights

Not specified

Tailored Resume

Cover Letter