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.