Director Machine Learning Engineering Management

Company Description
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.
With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.
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Job Description
What you get to do in this role:
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 AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. 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 5k+ enterprise customers around the world.

• Build the best cloud-based GenAI/ML solutions to power intelligent enterprise services
• Leverage Servicenow LLM's and oversee fine-tuning strategy for usecase specific improvements, as well as prompt optimization
• Combine SOTA RAG techniques with generative LLM's for specific tasks
• Own and drive data acquisition and requirements as well as evaluation metrics for both performance and quality at scale and across multiple languages
• Collaborate daily with a team of like-minded scientists, developers, product managers and quality engineers to produce quality software
• Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users.

Qualifications
To be successful in this role you have:

• 15+ years of related experience with a Bachelor's degree; or 12 years and a Master's degree; or a PhD with 8 years' experience; or equivalent work experience.
• 3+ years of management experience, proficiency in providing feedback to work group strategies, policies, and plans
• Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
• Experience building new products that use challenging algorithms
• Expertise in coding efficient, object-oriented, modularized and quality software
• Knowledge of core AI/ML techniques and algorithms
• Strong working knowledge of PEFT/LORA techniques, GPU inference optimization, LLM transformer architectures, Auto-evaluation methods
• Bias for Action even in ambiguous net new contexts
• Knowledge of unit testing, profiling, and code tuning.

FD21
For positions in the Bay Area, we offer a base pay of $233,500 - $408,500, 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. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.
Additional Information
ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.
If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.
For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.
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