ServiceNow aims to enhance its AI-enhanced technology and intelligent cloud-based platform by building next-generation Large Language Models (LLMs) for Enterprise Language Generation to power AI experiences for its 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
- 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.
- 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.
- 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.
