Job Title: Lead Applied Scientist
Location: Remote (U.S. - EST OR CST ONLY)
Compensation: $200,000–$220,000 base +bonus; RSUs possible
Experience Required: 7+ years in commercial environments
Education: MS or PhD preferred
About the Organization
Join a global leader in delivering intelligent information and technology solutions to professionals in legal, tax, accounting, and compliance sectors. The innovation arm of the company, Labs, operates like a startup within a well-established enterprise—driving cutting-edge AI and machine learning advancements that power smarter tools for professionals.
Labs focuses on applied research and development, building agentic AI solutions that automate complex workflows such as tax preparation and legal document summarization. Learn more about their mission and products here.
The Role
As a Lead Applied Scientist, you’ll serve as a technical lead on agentic AI initiatives within the CoCounsel product suite, focused on tax, audit, and compliance. You’ll work extensively with Retrieval-Augmented Generation (RAG), large language models (LLMs), and neuro-symbolic AI—integrating rule-based logic with neural networks to solve problems that go beyond the capabilities of current LLMs.
You’ll be a subject matter expert across the AI lifecycle, collaborating with global stakeholders and guiding best practices from research to production.
Key Responsibilities
- Lead development of agentic AI systems for enterprise-scale tax and compliance applications
- Design and implement neuro-symbolic AI solutions combining rule-based logic with deep learning
- Serve as a technical SME across the AI lifecycle, from prototyping to deployment
- Collaborate with cross-functional teams and senior stakeholders across global business units
- Translate domain-specific knowledge into scalable, intelligent systems
Ideal Candidate Profile
- 7+ years of hands-on experience in applied AI, with a strong track record of leading projects
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field
- Proven ability to bring research into production; engineering experience is a plus
- Strong background in NLP; familiarity with RAG and LLMs
- Experience in fast-paced, ambiguous environments
- Publications or patents are a bonus
- Domain experience in tax or regulatory fields is helpful but not required
Why Join?
- Work on high-impact AI products used by professionals worldwide
- Be part of a startup-like innovation team backed by a global enterprise
- Enjoy remote flexibility and competitive compensation
- Collaborate with top-tier talent in a mission-driven environment
