Diligent is the global leader in modern governance, providing SaaS solutions across governance, risk, compliance, audit and ESG. Empowering more than 1 million users and 700,000 board members and leaders with a holistic view of their organization's GRC practices so they can make better decisions, faster. No matter the challenge.
At Diligent, you are an agent of positive change. You are joining a team of passionate, smart, creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. Be a part of a global community on a mission to make a real impact.
We are seeking talented and driven Data Scientists to join our growing team at Diligent. Reporting to the 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.
Key Responsibilities: Design and develop machine learning models and algorithms for various applications.Test and evaluate the performance of these models and algorithms.Collaborate with the data science teams to develop and implement NLP solutions for processing large document sets.Collaborate with machine learning engineers and software engineers to productize AI-based capabilities.Work on projects involving sensitive customer content used for Diligent customers' board communications, which requires stringent privacy and security measures.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.Focus on complex legal and regulatory language within the GRC industry, ensuring accurate and relevant model outputs.Implement and fine-tune models using Python and PyTorch, leveraging AWS infrastructure.Document and communicate your approach, progress, and results to the broader team.Stay up-to-date with the latest research and developments in the field of machine learning and AI.[Staff/Senior] Lead and oversee research projects, design and analyze experiments, and build evaluation frameworks to measure the quality of our solutions.Basic Qualifications: Proficiency in Python, NumPy, scikit-learn, Pandas, NLTK, spaCy, PyTorch, or similar.2-5 years of relevant experience.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.Preferred Qualifications: 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.Educational Requirements: Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related field.Master's or PhD preferred.Soft Skills: Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.Self-motivated with a proactive approach to project management.Ability to work effectively in a hybrid or remote environment.Join us at Diligent and be a part of a team that is at the forefront of transforming the GRC industry with innovative AI solutions. Apply today and help us drive greater impact through technology.
What Diligent Offers You: Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients.We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting-free days, generous time off policy, and wellness programs to name a few.We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.Diversity is important to us. Growing, maintaining, and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
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