Staff Machine Learning Engineer, ServiceNow

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
• 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
• 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

• 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
• 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

• Commuter benefits
• Annual learning stipends
• Work from home opportunities
• Generous family leave
• Matched donations
• Flexible PTO
• 401(k) matching
• Paid volunteer time

Total funding: $83.8m

ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.