ABOUT US

Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
At Diligent, we’re building the future with people who think boldly and move fast. Whether you’re designing systems that leverage large language models or part of a team reimaging workflows with AI, you’ll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.
Learn more at diligent.com or follow us on LinkedIn and Facebook

POSITION OVERVIEW

We are seeking talented and driven Applied Scientists to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves working on state-of-the-art projects in Natural Language Processing (NLP), Large Language Models (LLMs), and other advanced AI methodologies. Your contributions will be crucial in developing platform-level AI capabilities, such as document set comprehension, longitudinal insight extraction, semantic search, and structured retrieval augmented generation, to accelerate AI adoption across Diligent’s diverse product suite.

REQUIRED EXPERIENCE/SKILLS

• Proficiency in Python, NumPy, scikit-learn, Pandas, NLTK, spaCy, PyTorch, or similar.
• Experience with model deployment and scaling.
• Strong foundational knowledge in NLP, machine learning, and statistical modeling.
• Proficiency in building ML/AI pipelines and relevant tools such as MLFlow, AWS SageMaker, or similar.
• Bachelor’s degree in Computer Science, Machine Learning, Mathematics, or a related field.

PREFERRED EXPERIENCE/SKILLS

• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, and building RAG-based functionality.
• Experience with semantic search and information retrieval systems.
• Familiarity with reinforcement learning methods.
• Master’s or PhD in Computer Science, Machine Learning, Mathematics, or a related field.

• Design and develop machine learning models and algorithms for various applications.
• Test and evaluate the performance of these models and algorithms.
• Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets.
• Develop and support semantic search, structured retrieval, and RAG use cases across various Diligent products.
• Utilize LLMs, knowledge graphs, traditional NLP methods, and custom models to provide document set comprehension capabilities and facilitate insight extraction.
• Implement and fine-tune models using Python and PyTorch, leveraging AWS infrastructure.