Senior Machine Learning Engineer

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.

Job Description

We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.

Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.

What our team values:

• Demonstrating humility and fostering a culture of mutual support.
• Embracing continuous learning and knowledge sharing—through thoughtful collaboration, mentorship, and team-led learning sessions.
• Delivering high-quality work reflects our commitment to excellence, without compromising integrity or cutting corners.
• Cultivating a positive and collegial work environment, valuing connection, camaraderie, and occasional team gatherings outside of work.

What you get to do in this role:

• Analyze data to gather insights.
• Train/test/deploy/maintain complex ML/AI/GenAI models at scale.
• Build ML/AI enabled application on the ServiceNow platform.
• Integrate ML/AI capabilities into the ServiceNow platform.
• Help evolve the MLOps process our team follows.
• Design and build end to end proof of concept and prototype of products and solutions.

Qualifications

To Succeed in This Role, You Will Bring:

• Typically requires a minimum of 5 years of related experience.
• Strong analytical skills with a focus on data-driven decision making.
• Proficiency in Python and familiarity with its ecosystem of data science and machine learning libraries.
• Demonstrated experience delivering scalable machine learning, deep learning, or generative AI solutions.
• Solid understanding of MLOps practices, ideally with hands-on experience using Azure ML services.
• Experience working with modern data platforms such as Snowflake.
• Ability to quickly learn and apply new technologies, including the ServiceNow platform.
• Strong grasp of software design and integration patterns, data modeling principles, and industry best practices.
• A proven track record of successfully delivering complex, cross-functional projects.
• Excellent debugging, testing, and problem-solving capabilities.

For positions in this location, we offer a base pay of $158,500 - $269,500, 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. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

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 and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal 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. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

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 [email protected] 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. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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