Staff Machine Learning Engineer Agentic Application

ServiceNow; Mountain View (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

ServiceNow is seeking a Staff Machine Learning Engineer to leverage cutting-edge AI technologies for enterprise applications. This role involves collaborating with various teams to design impactful product features, overseeing project deliveries, and expanding the product's market reach.

The ideal candidate will have over 7 years of experience in scalable system development and a strong product sense. Work persona is required in office, fostering a collaborative environment.

Qualifications

• 7+ years professional experience in scalable system development.
• Ability to tech lead other engineers and oversee end-to-end delivery of projects.
• Familiarity with GAI/LLM product development is a plus.

Responsibilities

• Collaborate closely with experts to apply latest technology capabilities.
• Design and implement product features to deliver business value.
• Define, scope, and validate product deliverables with cross-functional teams.
• Expand product reach to more customers and ensure high quality.

Skills

Communication skills

Cross-functional collaboration

Scalable system development

Product building

Learning willingness

Education

BS or higher degree in computer science or related field

Job description

Staff Machine Learning Engineer, Agentic Application

Full-time
Employee Type: Regular
Region: AMS - North America and Canada
Work Persona: Required in Office

Responsibilities

Our product excels in using cutting‑edge Machine Learning technologies, particularly Generative AI, for business automation and critical tasks. As a conversation product engineer, you will apply these technologies to impactful enterprise use cases. Our product serves diverse user personas across the enterprise through a unified conversational and GUI interface across chat and web channels. We seek a high‑performance engineer with a passion for enhancing overall user impact and a clear thinking framework for scalable, tailored experiences.

• Collaborate closely with GAI conversational framework experts to grasp the latest technology capabilities and best practices.
• Design and implement stakeholder and end‑user product features using cutting‑edge Agentic AI and technical approaches to deliver business value.
• Work with PM, UX, and GTM teams to define, scope, and validate product deliverables.
• Expand the product's reach to more customers, domains, and global markets, ensuring high quality and extensible engineering implementation.
• Identify patterns and feedback to advance the Agentic AI framework further.
• Develop into a well‑rounded product engineer with the expertise to apply LLM technologies for impactful products and strategic influence.

Qualifications

• Ability to tech lead other engineers and oversee the end‑to‑end delivery of a project. Good communication and soft skills.
• BS or a higher degree in computer science or related field.
• 7+ years professional experience in scalable system development.
• Strong product sense and a passion for building scalable web or conversational UI products.
• Excellent cross‑functional collaboration skills.
• A constant thirst for learning and readiness to step outside your comfort zone.
• Technology lead experience and familiarity with GAI/LLM product development will be a plus.

Work Persona

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. The eligibility for a work persona may be determined by confirming the distance between your primary residence and the nearest 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 [e-mail] 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.