Staff Machine Learning Engineer, Agentic App Platform

Responsibilities

• Build a broad product infrastructure with intuitive interfaces that let engineers and configurators customize and optimize generative AI models. This includes collecting data and feedback, adapting to diverse enterprise use cases, and delivering domain-specific conversational experiences.
• Design scalable API abstractions for the conversation platform that work with MSTeams, Slack, and Web clients, while exposing a neutral API for other parts of the engineering system.
• Optimize the dialog engine to support a wide range of features, leveraging private enterprise domain knowledge in the cloud and enabling real-time multilingual translation, all with a minimal memory footprint and low latency to streamline development for application engineers.
• Champion best practices in coding patterns, API design, scalability, robustness, and optimization, fostering a culture of excellence and continual improvement among engineers.
• Provide thorough visibility into performance through a robust logging and tracing framework, user-friendly debugging and triage tools, and automated metrics for effective monitoring and analysis.
• Collaborate closely with ML engineers, application engineers, product teams, and customer support to drive feature development and scalability initiatives.

Requirements

• A strong foundation in computer science and software engineering with expertise in building scalable systems.
• A deep understanding of clean, modular, and scalable API design, with the ability to champion high-quality coding practices and influence peers.
• A passion for optimizing systems, proficient in tracing, logging, and metrics frameworks, and a systematic approach to identifying latency bottlenecks, race conditions, and throughput limitations.
• Capacity to independently research new requirements and develop innovative solutions, thriving in fast-paced coding and rapid iteration environments.
• Strong communication skills and cross-functional awareness enabling effective collaboration across teams.
• A bachelor's degree or higher in computer science or a related field.
• 7+ years of professional development experience building systems at scale.

Technologies

• MSTeams
• Slack
• Web

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or in office) are assigned to ServiceNow employees depending on the nature of their work and location. 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.