Join ServiceNow's Advanced Technology Group (ATG) as an Applied Research Scientist/Engineer. Develop generative AI solutions and power AI-based workflows to deliver industry-leading work experiences. Work alongside a team of researchers, scientists, and engineers to innovate new AI technologies and products.
Job Description
The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a critical mission to power AI based workflows and solutions.
As part of Core LLM Team, we build and evolve Generative AI based solutions, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
Applied research scientists/engineers are expected to find innovative and cost-effective solutions to key problems, deliver high quality code, and work with product managers/machine learning engineers/performance, quality engineers to take the product to market.
Qualifications
To be successful in this role you have:
- At least 5 years of experience working on AI projects involving automatic language processing technologies .
- Solid software development skills in Python/C++/Java
- Experience in training transformer-based language models and their variants (T5, BART, BERT etc)
- Knowledge of transformer architecture and impacts of modifying the same
- Experience in using GPUs to train deep learning models
- Good knowledge of solving industrial problems using deep learning models with NLP related use-cases
- Strong understanding of model compression via parameter quantization, distillation, teacher-student training techniques
- Strong understanding of large language models, and prompting approaches
- Strong understanding of AI quality evaluation metrics
- Experience in reading papers and implementing algorithms described in papers
- An advanced degree in computer science (MS/PhD) with a major in Natural Language Processing