Senior Staff Machine Learning Engineer_Voice AI

What you get to do in this role: • Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)  • Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success  • Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters  • Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)  • Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling  • Be a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines  To be successful in this role you have: • 12+ year of relevant industry experience  • Hands-on experience building distributed Voice AI systems with a large operational scale  • 4+ years building LLM-based applications (integrating models, not training)  • 4+ years of development experience with Python, Golang, Java, or similar languages.   • 2+ years of experience building agents (prompt engineering) and developing LLM-based experiences  • Working experience operating highly available distributed workloads on Kubernetes following a DevOps approach.   • Experience building software for compliance and security in regulated environments is considered an asset   • Critically thinking around AI integrations for work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.    • Experience building with AI tools such as Claude Code, Cursor, Windsurf  For positions in this location, we offer a base pay of $181,200 - $317,100  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. 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, religion, sex, sexual orientation, national origin, age, disability, gender identity,  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 un