ServiceNow is looking to build next-generation Large Language Models (LLMs) for Enterprise Language Generation to power its NOW platform with AI experiences, aiming to solve complex problems and deliver tailored solutions that accelerate innovation and efficiency for its enterprise customers.
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 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.
- Expertise in Python, OOP, Design Patterns.
- Experience in Pretraining of an LLM is preferred but not mandatory
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.
Other
- 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.
- 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.
- Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
- 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.
