Ai Experimental Systems Research Scientist (causal Learning & Adaptive Experimentation)
3M
Remote, United States
$141,150 - $172,517; not specified; not specified ...
Fully remote
Adaptive experimental systems
Causal estimands
Randomization schemes
The role focuses on developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments
Job Summary
The role focuses on developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments.
Responsibilities include designing and implementing adaptive experimental systems, developing causal estimands, and embedding rigorous experimental control directly into learning systems.
3M offers programs to help employees live their best life, both physically and financially, and regularly benchmarks for competitive pay and benefits.
Matching Summary
The role focuses on developing foundational methods for always-on learning systems that reason, experiment, and adapt in complex, non-stationary environments.
Salary
$141,150 - $172,517; Not specified; Not specified
Skills & Requirements
Must-have
adaptive experimental systems
causal estimands
randomization schemes
statistical theory
experimental design
causal inference
Nice-to-have
intellectual humility
epistemic correctness
curiosity
adversarial conditions
Key Requirements
Ph.D. in Statistics, Biostatistics, Economics, Computer Science, Data Science, Operations Research, or a closely related field
Deep grounding in experimental design and statistical inference
Implement research-grade statistical or experimental methods in a general-purpose programming language (e.g., Python)
Experience in research settings where problem definition evolves