ServiceNow · 2 weeks ago
Senior Staff Machine Learning Engineer - Build Agent
San Diego, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$178K/yr - $312K/yr
8+ years expServiceNow is a global market leader in AI-enhanced technology, transforming how organizations work. The Senior Staff Machine Learning Engineer will lead the development of Build Agent, an AI-powered application development tool, focusing on creating scalable systems and collaborating with product managers to deliver innovative solutions.
Agentic AIBusiness Process Automation (BPA)Cloud ManagementEnterprise SoftwareRobotic Process Automation (RPA)SaaS
Responsibilities
Design and develop scalable, maintainable systems that leverage foundation models through effective prompting strategies, orchestration, and tooling
Collaborate with product managers to translate requirements into well-architected AI-powered solutions, owning features from prototyping through production deployment
Contribute to the design and implementation of new AI-powered products and features while enhancing existing capabilities
Build and refine prompt engineering workflows, evaluation frameworks, and retrieval systems to ensure consistent model performance and reliability
Design and implement agentic workflows including multi-step task decomposition, tool use, and self-correction loops
Integrate automated testing and evaluations into development workflows to measure output quality, latency, and cost across releases
Participate in design and code reviews, ensuring best practices in system performance, maintainability, and testability
Foster a culture of continuous learning and improvement by sharing best practices in AI engineering, prompt design, and quality evaluation
Qualification
Required
10+ years of related experience with a bachelor's degree; or 8 years and a master's degree; or a PhD with 5 years' experience; or equivalent work experience
Proficiency in prompt engineering, including techniques such as chain-of-thought, few-shot prompting, and prompt optimization strategies
Experience building production systems that integrate foundation models (e.g., Claude, GPT, Gemini) into customer-facing products
Expertise in writing efficient, well-structured, and maintainable code with strong practices around unit testing, profiling, and performance tuning
Familiarity with evaluation frameworks and methods for measuring LLM output quality, reliability, and cost-effectiveness
Knowledge of retrieval-augmented generation (RAG), agent architectures, or other patterns for extending model capabilities
Experience with code quality systems, static analysis, or CI/CD pipelines
Preferred
Familiarity with agentic patterns such as tool use, planning, and self-correction loops
Experience with AI-assisted development tools such as Cursor, Windsurf, or similar
Understanding of security and governance considerations in AI-generated code
Familiarity with fine-tuning techniques (e.g., supervised fine-tuning, distillation) for understanding model behavior, even if not a primary job function
Background in AI/ML fundamentals that informs effective use of foundation models
Benefits
Health plans
Flexible spending accounts
A 401(k) Plan with company match
ESPP
Matching donations
A flexible time away plan
Family leave programs
Company
ServiceNow
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions.
10001+ employees
H1B Sponsorship
ServiceNow has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (910)
2024 (876)
2023 (807)
2022 (840)
2021 (447)
2020 (439)
Funding
Current Stage
Public CompanyTotal Funding
$83.7MKey Investors
Sequoia CapitalJMI Equity
2022-12-09Post Ipo Equity
2012-07-29IPO
2012-03-20Private Equity· $10.98M
Leadership Team
Bill McDermott
Chairman and CEO
Pat Casey
Chief Technology Officer & EVP of DevOps
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