Senior Machine Learning Engineer

Quick Facts

• Role: Senior Machine Learning Engineer

Description

Design, build, and maintain enterprise-grade GenAI and agentic AI capabilities for ServiceNow CRM. Own full-stack development from design and implementation through testing, deployment, and production support, while driving enterprise customer enablement from solution design to go-live readiness. Improve scalability, reliability, performance, and quality of production AI capabilities through AI-first engineering practices and cross-team collaboration.

Responsibilities

• Design, develop, and enhance GenAI capabilities, AI Agents, and autonomous AI specialists

• Own full-stack feature development through testing, deployment, and production support

• Drive enterprise customer enablement: solution design, configuration, integration, troubleshooting, and go-live readiness

• Own product stabilization: defect resolution, ongoing maintenance, and support escalations

• Improve scalability, reliability, performance, and quality of production AI capabilities

• Collaborate with Product, Platform, Evaluation, Architecture, and Industry teams to deliver customer-ready solutions

Requirements

• Strong full-stack engineering experience with expertise in backend development, APIs, and distributed systems

• Proven ability to independently design, develop, debug, and maintain production-grade software

• Experience with AI-assisted development tools and familiarity with GenAI, LLMs, or agentic AI concepts

• Ability to work across teams and resolve complex technical and customer issues

• Strong problem-solving skills, technical judgment, and end-to-end ownership

• Accountability, adaptability, and a customer-focused engineering mindset

Benefits

• Base pay range: $161,300–$274,200 plus equity (when applicable)

• Variable/incentive compensation and benefits (including health plans, flexible spending accounts, 401(k) match, ESPP, matching donations, flexible time away, and family leave programs)