AI Experimental Systems Research Scientist (Causal Learning & Adaptive Experimentation)

3M

Actively hiring
Remote (Remote - Minnesota, US) Posted 80 days ago $141,150$172,517 / year

At a glance

AI generated

TL;DR

As an AI Experimental Systems Research Scientist at 3M’s Corporate R&D, you’ll join a small, technical team developing advanced methods for learning systems that reason and adapt in complex environments. Your daily work involves designing adaptive experimental systems to ensure identifiability and causal validity, implementing rigorous statistical methods, and embedding experimental control into learning mechanisms. You will collaborate with interdisciplinary researchers to stress-test these systems under realistic conditions, focusing on nonstationary environments and delayed outcomes. Key skills include a Ph.D. in statistics or related fields, expertise in experimental design and causal inference, proficiency in Python, and experience with adaptive experimentation and hierarchical designs. This role demands a deep understanding of statistical theory and its application to real-world challenges, emphasizing epistemic correctness over short-term performance gains.

Skills

Python Causal Inference Adaptive Experimentation Sequential Decision-Making Hierarchical Experimentation Nonstationary Systems Delayed Feedback Loops Interference Effects Bayesian Statistics Statistical Validity Research Methodologies Machine Learning Experimental Design CI/CD

What you'll do

  • Design and implement adaptive experimental systems for nonstationary environments.
  • Develop causal estimands and randomization schemes ensuring identifiability and validity.
  • Embed rigorous experimental control into learning systems, including self-experimentation.
  • Translate principles from experimental design and sequential decision-making into system behavior.
  • Implement research code supporting hierarchical experimentation and statistically valid online inference.
  • Create diagnostics and monitoring tools to ensure learning systems remain calibrated over time.

What we're looking for

  • Ph.D. in Statistics, Biostatistics, Economics, Computer Science, Data Science, Operations Research, or closely related field.
  • Deep expertise in experimental design and causal inference, including randomized experiments and adaptive experimentation.
  • Experience implementing research-grade statistical methods in a programming language like Python.
  • Familiarity with hierarchical experimental designs and multi-level inference techniques.
  • Strong understanding of identifiability, bias–variance tradeoffs, and statistical validity in complex settings.
  • Comfort designing and conducting experiments on learning systems under nonstationary conditions.

Market check

Salary context

This $141,150–$172,517 range sits above 18% of similar postings on FindRole.

Peer median band

$168,960$249,600

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,000$246,237

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About 3M

3M is a diversified technology and manufacturing conglomerate producing thousands of products across healthcare, safety, electronics, transportation, and consumer goods. Industry: Diversified Manufacturing

3M currently has 38 open roles on FindRole.

Listed pay typically runs $145,676–$178,049 across 34 roles with salary data.

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View all roles at 3M

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