Staff Applied Research Scientist

ServiceNow
Summary
Join ServiceNow's CoreLLM team and contribute to the development of next-generation Large Language Models (LLMs) for the NOW platform. You will leverage your AI/ML expertise to research, propose, implement, and evaluate models, ensuring scalability and practical application. Collaborate with a team of developers, scientists, and product managers to design, implement, and scale LLMs as a key AI-first platform offering. Work with product owners to understand requirements and own your code from design to delivery. This role involves tackling real-world challenges and datasets, applying existing methods and developing new ones to solve problems. The models you build will power a wide range of use cases across various business units, accelerating innovation and efficiency.
Requirements
- Expert in prompt engineering and developing LLM based features
- Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
- Experience in using AI productivity tools such as Cursor, Windsurf, etc
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
- 6+ years of relevant experience with a Bachelor's degree; or 4 years with a Master's degree; or a PhD with no experience; or equivalent work experience
- Expertise in Python, OOP, Design Patterns
- Experience with Instruction fine tuning and other fine-tuning techniques is a must
- Experience with various transformer architectures (auto-regressive ,sequence-to-sequence etc)
- Ability to read latest papers and experiment with the ideas
- Good publication record in top tier conferences such as ICLR, NeurIPS, ICML, ACL, EMNLP, AAAI, etc
- Communicating your research findings to both technical and non-technical stakeholders, and working to ensure that the benefits and limitations of LLMs are clearly understood across the organization
Responsibilities
- Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way
- Research and propose appropriate models/techniques, as well as implement, train and evaluate the models yourself
- Contribute to the design, implementation, and scaling of LLM's as a key AI-first platform offering in ServiceNow’s portfolio
- Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software
- Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users
Preferred Qualifications
- Experience in Pretraining of an LLM is preferred but not mandatory
- Experience with Reinforcement learning is preferred but not mandatory
Benefits
- Health plans, including flexible spending accounts
- A 401(k) Plan with company match
- ESPP
- Matching donations
- A flexible time away plan
- Family leave programs