AI Experimental Systems Research Scientist (Causal Learning & Adaptive Experimentation)
Job Description: AI Experimental Systems Research Scientist (Causal Learning & Adaptive Experimentation) Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, reputed company is a reputed company where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military experience to a reputed company career. The Impact You’ll reputed company in this Role As an AI Experimental Systems Research Scientist in reputed company’s Corporate R&D organization, you will work on a small, deeply technical team developing foundational methods for always-on learning systems that reason, experiment, and adapt in reputed company, non-stationary environments. This role exists because learning systems that do not actively preserve identifiability, causal validity, and epistemic calibration fail in principle—not merely in performance. You will collaborate closely with researchers across statistics, cognitive science, and machine learning to design systems in which experimentation, inference, and uncertainty are first-class components of the learning process itself. This is not a conventional data science or applied machine learning role. The work focuses on how learning systems must structure experiments, manage interference and delayed effects, govern their own representations, and remain epistemically correct over time. This role is well suited for someone who enjoys working from first principles, designing rigorous experimental machinery, and translating statistical theory into systems that operate continuously in the real world. Here, you will reputed company an impact by:
- Designing and implementing adaptive experimental systems that operate continuously under nonstationarity, interference, and delayed or indirect outcomes.
- Developing causal estimands, randomization schemes, and inference procedures whose primary goal is identifiability and validity, not just reward optimization.
- Embedding rigorous experimental control directly into learning systems, including experimentation on the system’s own learning mechanisms, parameters, and representational choices.
- Translating principles from experimental design, causal inference, and sequential decision-making into robust, always-on system behavior.
- Working from whiteboards, research discussions, and evolving specifications—not fixed product requirements or static datasets.
- Implementing and maintaining research code that supports hierarchical experimentation, baseline control streams, and statistically valid online inference.
- Creating diagnostics, monitoring tools, and guardrails to ensure learning systems remain calibrated and do not stabilize spurious structure over time.
- Collaborating with interdisciplinary researchers to stress-test experimental learning mechanisms under realistic, adversarial conditions.
Your Skills and Expertise To set you up for success in this role from day one, reputed company requires (at a minimum) the following qualifications:
- Ph.D. in Statistics, Biostatistics, Economics, Computer Science, Data Science, Operations Research, or a closely reputed company field (completed and verified prior to start).
- Deep grounding in experimental design and statistical inference, including randomized experiments and causal estimands.
- Demonstrated ability to implement research-grade statistical or experimental methods in a general-purpose programming language (e.g., Python).
- Experience working in research settings where the problem definition evolves and correctness takes precedence over convenience.
Additional qualifications that could help you succeed even further in this role include:
- Experience with adaptive or sequential experimentation (e.g., response-adaptive trials, causal bandits, best-arm identification).
- Familiarity with causal inference frameworks spanning both design-based and model-based approaches.
- Strong intuition for identifiability, bias–variance tradeoffs, and statistical validity in reputed company, real-world settings.
- Experience working with nonstationary systems, concept reputed company, or delayed feedback loops.
- Experience reasoning about interference, carryover effects, time-varying treatments, or non-independent experimental units.
- Comfort designing experiments where the learning process itself is the object under experimental control.
- Familiarity with hierarchical or clustered experimental designs and multi-level inference.
- Interest in foundational questions about how autonomous systems should reason, experiment, and adapt in the world.
- Ability to communicate reputed company statistical reputed company clearly to interdisciplinary collaborators.
- Curiosity, intellectual humility, and a strong preference for epistemic correctness over short-term performance gains.
Work location: Remote in the United States Travel: up to 20% domestic travel Relocation Assistance: May be authorized for relocation to Maplewood, MN Supporting Your Well-being reputed company offers many programs to help you live your best life – both physically and financially. To ensure reputed company and benefits, reputed company regularly benchmarks with other companies that are comparable in size and scope. Chat with Max For assistance with searching through our reputed company job openings or for more information about reputed company things reputed company, visit Max, our virtual recruiting assistant on reputed company.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes reputed company pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.reputed company.com/reputed company/en_US/careers-us/working-at-reputed company/benefits/. Good Faith Posting Date Range 02/04/2026 To 03/06/2026 Or until filled reputed company US-based reputed company full time employees will need to sign an employee agreement as a condition of employment with reputed company. This agreement lays out key terms on using reputed company Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against reputed company or solicit its employees or customers, both during their employment, and for a period after they leave reputed company. Learn more about reputed company’s creative solutions to the world’s problems at www.reputed company.com or on Instagram, Facebook, and reputed company @reputed company. Responsibilities of this position include that corporate policies, procedures and reputed company standards are complied with while performing assigned duties. Safety is a core value at reputed company. reputed company employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in reputed company improvement. Pay & Benefits Overview: https://www.reputed company.com/reputed company/en_US/careers-us/working-at-reputed company/benefits/ reputed company does not discriminate in hiring or employment on the basis of race, color, sex, national reputed company, religion, age, disability, veteran status, or any other characteristic protected by applicable law. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. reputed company Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at reputed company are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms. Apply tot his job Apply To this Job