Join BluePill AI as an AI Researcher to build the next generation of digital consumer twins. You will move beyond API wrappers to directly shape foundational model behavior through training, fine-tuning, and RLHF. Working alongside ex-Amazon and Google AI leaders, you’ll bridge the gap between deep research and real-world consumer behavior simulation.
AI Researcher at BluePill AI
BluePill AI is a seed-stage startup backed by Ubiquity Ventures and Pioneer Square Labs, creating digital consumer twins with 93% accuracy. We're looking for an AI Researcher to join our team of veterans from Amazon and Google. If you have deep experience in RLHF, pre-training, or fine-tuning and a passion for a subject outside of tech, you'll thrive in our high-autonomy environment. Help us redefine market research by building models that simulate real audience behavior at scale, moving beyond simple API wrappers to shape foundational model research that connects directly to products used by global brands.
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Location
Seattle, United States / Remote
Compensation
Not Disclosed + Equity
Company
BluePill AI
Role overview
BluePill (BluePill AI) is an AI-powered consumer insights and research platform that builds “AI consumers”—digital twins of real audiences—to help brands simulate and predict how real customers will think, feel, and act in response to products, packaging, messaging, campaigns, pricing, and other go‑to‑market decisions.[2][3][7][14][18] Using millions of real‑world data points such as purchase behavior, demographics, psychographics, survey responses, social conversations, and qualitative interviews, BluePill constructs lifelike AI personas or synthetic consumer panels that think and decide like actual target customers.[2][4][7][14] Marketers and product teams log into the platform to run on‑demand surveys, focus groups, creative and message tests, packaging and concept tests, and behavioral studies, obtaining instant, validated insights at a fraction of the cost and time of traditional research panels or focus groups.[2][4][6][7][14][20] The platform’s insights are continuously benchmarked and validated against human responses, with humans in the loop to maintain accuracy and relevance, offering a scalable alternative to conventional market research while reducing costs by up to 90% and enabling rapid iteration across the marketing and product lifecycle.[4][11][18]
What you will do
- Conduct deep research into foundational model behavior, utilizing pre-training, fine-tuning, and RLHF to enhance model reasoning capabilities.
- Analyze and optimize model outputs to ensure digital consumer twins reflect real-world human responses with industry-leading accuracy of ~93%.
- Collaborate directly with the CEO and CTO to translate complex research findings into production-ready simulations for global brands and agencies.
Who this is a fit for
- Possesses extensive technical experience with foundational models, specifically in areas such as pre-training, evaluation, RLHF, or architecture research.
- Demonstrates a strong research background with a track record of published work at top-tier venues like NeurIPS, ICML, or ICLR.
- Maintains a genuine intellectual passion or expertise in a subject outside of core work, bringing a diverse perspective to the engineering team.
Why this role is remarkable
- Work on foundational model research that directly powers a product used by real companies, moving beyond simple wrappers to deep architectural reasoning.
- Join a high-pedigree team of AI veterans from Amazon and Google, backed by top-tier investors like Ubiquity Ventures, Pioneer Square Labs, and Flying Fish Ventures.
- Participate in a unique culture that values interdisciplinary expertise, encouraging researchers to maintain a deep intellectual passion in a subject outside of core AI.
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