Staff Research Scientist - Santa Clara California

Company: Servicenow
Location: Santa Clara, California
Posted On: 11/18/2024

Company DescriptionIt all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.Job DescriptionThe Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest deep learning, and advanced techniques 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 dual mission. We build and evolve the AI platform, 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.You will play a major part in driving significant innovations for our Large Language Models (LLMs) for Enterprise Language Generation that will power NOW platform with AI experiences in the day-to-day work of our customers. Our projects help power an amazing range of solutions to our 9k+ enterprise customers around the world.What you get to do in this role:

• 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.
• Keep up with and actively contribute to the latest AI research developments, applying new insights to current projects and propose advanced new techniques that can help leapfrog existing ones. Work with other researchers and Applied Research scientists to validate and drive these innovations, eventually resulting in vastly improved models.
• Contribute to the design, implementation, and scaling of LLMs as a key AI-first platform offering in ServiceNow's portfolio. Develop and maintain detailed technical documentation that clearly captures the complexities of the language model, enabling easy understanding, efficient troubleshooting, and smooth future development. Similarly, document your codebase for efficient collaboration.
• Work closely with various cross-functional teams to effectively identify and prioritize requirements, ensuring the language model aligns with stakeholder needs and expectations. Collaborate with a team of like-minded developers, applied research scientists, product managers, and quality engineers to produce quality software.
• Oversee the entire project lifecycle, from research and development through to deployment and optimization. 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.QualificationsTo be successful in this role you have:
  • A minimum PhD with 3 years' experience; or equivalent work experience.
  • Expertise in Python, OOP, Design Patterns.
  • Experience in Pretraining of an LLM is preferred but not mandatory.
  • Experience with Instruction fine-tuning and other fine-tuning techniques is a must.
  • Experience with Reinforcement learning is preferred but not mandatory.
  • 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.Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
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