Staff Machine Learning Engineer

Job Description Company Description: 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. 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, 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: 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. 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! Compensation: For positions in this location, we offer a base pay of $165,800 - $290,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. Work Personas: We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Equal Opportunity Employer: ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to creed, ancestry, marital status, veteran status, or any other category protected by law. Accommodations: We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact

globaltalentss@servicenow.com

for assistance. Export Control Regulations: For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals.

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