Principal Research Scientist/Engineer

Summary

Join ServiceNow's customer-focused innovation group as a pivotal leader in developing operational solutions for next-generation Large Language Models (LLMs). You will contribute to the design, implementation, and operation of LLMs at scale in a hybrid cloud environment, collaborating with a team of developers, scientists, product managers, and quality engineers. This role involves working closely with product owners, utilizing expertise in distributed systems to build scalable services, and applying AI/ML skills to solve real-world challenges. You will lead the creation of solutions for 9,000+ enterprise customers, focusing on early adopters. The position offers a competitive salary and benefits package.

Requirements

• 15+ years of related experience with a Bachelor's degree; or 12 years and a Master's degree; or a PhD with 8+ years of experience; or equivalent work experience
• Strong problem-solving skills and the ability to adapt to evolving requirements and technologies in the AI field
• Solid Machine Learning knowledge and hands-on experience
• Experience with LLM's
• Demonstrated experience in creating and maintaining large-scale data processing pipelines, ensuring accurate, efficient, and secure data processing
• Proficiency in infrastructure design and implementation, with experience in building scalable and performant ML services
• Communicating to both technical and non-technical stakeholders, and working to ensure that the benefits and limitations of GenAI technologies are clearly understood across the organization

Responsibilities

• Contribute to the design, implementation, and operating LLMs at scale in a hybrid cloud environment to support ServiceNow's portfolio of products
• Collaborate daily with a team of like-minded developers, applied research scientists, product managers, and quality engineers to deliver high-quality software
• Work closely with product owners to understand detailed requirements and take ownership of the entire software development cycle, from design to implementation, testing, and delivery of high-quality and high-impact solutions to our users
• Utilize your experience with distributed systems to build scalable and performant shared services that support the development and deployment of AI models and applications
• Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods or collaborate to develop new ones to solve these problems in a practical and scalable way

Preferred Qualifications

• Experience in Instruction fine tuning and other fine tuning methodologies preferred
• Experience with Search or Recommendation systems preferred

Benefits

• Health plans, including flexible spending accounts
• A 401(k) Plan with company match
• ESPP
• Matching donations
• A flexible time away plan
• Family leave programs