Director, Applied Research

What you'll do

• Lead and develop an applied science team, setting research direction and technical priorities.
• Guide the design and delivery of AI features that improve professional workflows, partnering with product and engineering teams to bring them into production.
• Shape AI strategy and product roadmaps with stakeholders, domain experts, and customer and product insights.

What they ask for

• PhD in Computer Science, Machine Learning, or a closely related field; or a Master's degree with equivalent depth, a strong scientific background, and a relevant publication record.
• 10+ years of hands-on industry experience building commercial AI and machine learning systems; research-only experience is not sufficient.
• Recent, direct hands-on experience developing production LLM-based and agentic AI systems for non-trivial use cases.
• 5+ years managing and developing applied science, machine learning, or AI research teams.

Nice to have

• Experience building AI solutions in tax, legal, audit, accounting, or other highly regulated and knowledge-intensive domains.
• Relevant publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or equivalent venues.

Pay

$198,200 USD - $368,000 USD (base salary)

Tools

LLM-based systems, agentic AI, information retrieval, natural language processing, knowledge graphs, neuro-symbolic AI, synthetic data generation

AI focus

Applied research and production development of agentic AI and LLM-based systems for tax and accounting workflows, including retrieval, document understanding, evaluation, verification, safety, and quality controls.