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AI Research Engineer at BluePill AI

seattle, wa • Posted 4 days ago
Remote Full Time Engineering

Job Title


AI Research Engineer


Salary


Not Disclosed


Company Description


BluePill AI is a $6M seed-funded Seattle-based startup backed by Ubiquity Ventures and Pioneer Square Labs, building digital twins of real audiences for automated market research.


Job Description


You will own the end-to-end model training pipeline at BluePill AI, moving beyond simple API integrations to work directly within model weights. You'll fine-tune and align LLMs to create "AI consumers"---simulated audiences that react with 93% accuracy compared to human panels, revolutionizing how brands test products and messaging in minutes.


Location


Remote


Why this role is remarkable



  • Work directly on the weights of foundational models using cutting-edge techniques like LoRA and RLHF rather than building wrappers around existing APIs.

  • Join a high-traction, $6M seed-funded startup backed by top investors like Pioneer Square Labs and Flying Fish Partners, with a product already hitting 93% human accuracy.

  • Shape the future of market research by building "AI consumers" in a small, elite team led by an ex-Amazon AI founder from Cornell.


What You Will Do



  • Own the complete end-to-end model training and alignment pipeline for BluePill AI's proprietary audience simulation engine.

  • Implement and iterate on advanced post-training techniques including SFT, DPO, and PEFT to align model behavior with complex human audience data.

  • Build and scale distributed training infrastructure to optimize the performance and deployment of foundational models across the platform.


The ideal candidate



  • Deep experience building foundational models or fine-tuning LLMs using advanced methodologies like RLHF and LoRA.

  • Strong background in machine learning research with the ability to implement novel approaches from academic papers into production systems.

  • Proven track record of optimizing distributed training infrastructure and working effectively in a fast-paced, high-ownership startup environment.

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