About The Role

BoomTax is seeking a Principal AI Research Scientist to spearhead our efforts in automating fiscal compliance. In this role, you will go beyond simple RAG implementations. You will fine-tune open-weights models (Llama, Mistral) on our proprietary dataset of tax regulations and filing scenarios to create agents capable of navigating ambiguity with high precision.

What You'll Do

  • Lead the architectural design of our Compliance reasoning engine.
  • Develop evaluation frameworks to benchmark agent performance against federal guidelines.
  • Optimize inference costs while maintaining high token throughput for real-time applications.
  • Collaborate with product engineering to deploy models into our .NET production environment.

Requirements

  • PhD in Computer Science, AI, Mathematics, or equivalent practical experience.
  • 7+ years of experience in Machine Learning, with significant focus on NLP.
  • Demonstrated ability to fine-tune and align LLMs (RLHF, DPO).
  • Strong publication record or portfolio of open-source contributions.

Ready to Apply?

We don't care about your resume formatting. We care about what you can build.

Email [email protected] with a brief description of your most challenging technical problem and how you solved it. Github links or technical blog posts are preferred over CVs.

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