Senior Applied Research Scientist LLM Evaluation

at  Servicenow

Description de l’entreprise
Tout a commencé sous le soleil de San Diego, en Californie, en 2004, lorsqu’un ingénieur visionnaire, Fred Luddy, a vu le potentiel de transformer notre façon de travailler. Aujourd’hui, ServiceNow se présente comme un leader mondial du marché, apportant une technologie innovante améliorée par l’IA à plus de 8 100 clients, dont 85% des entreprises du Fortune 500®. Notre plateforme intelligente basée sur le nuage connecte de manière transparente les personnes, les systèmes et les processus pour permettre aux organisations de trouver des méthodes de travail plus intelligentes, plus rapides et meilleures. Mais ce n’est que le début de notre voyage. Joignez-vous à nous dans la poursuite de notre objectif de rendre le monde meilleur pour tous.

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It 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.
Description du poste
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 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 building next generation Large Language Models(LLM’s) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers. We are just getting started with our early-adopter customers and we need your help in building and making available 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.
• Research, propose and implement appropriate models/techniques for LLM benchmarking.
• Participate in data collection and synthetic data generation, and generate custom benchmarks to evaluate diverse LLMs capabilities.
• Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to produce quality software.
• Contribute to the implementation of tools to facilitate LLMs evaluation and perform model / error analysis.
• Develop innovative patentable ideas that ensure the competitiveness of this product within the domain of similar work being done in the industry.
• Potentially write research papers in collaboration with our Research Group, to be published to the most notorious AI Conferences.
• 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.
  Qualifications

TO BE SUCCESSFUL IN THIS ROLE YOU HAVE:

• 4+ years of relevant experience with a Bachelor’s degree; or 2 years with a Master’s degree; or a PhD with no experience; or equivalent work experience.
• Solid expertise in Python.
• Solid Machine Learning / Deep Learning theoretical knowledge and hands-on experience.
• Experience with LLM benchmarking and evaluation is required; experience generating synthetic data is a plus.
• Ability to read and experiment with ideas from recent research papers.
• High level of creativity, quick problem-solving abilities, and adaptability.
• Effective communication skills to convey research findings to both technical and non-technical stakeholders, ensuring a clear understanding of the benefits and limitations of LLMs 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!
  Informations complémentaires