Drimva

ServiceNow

Senior Staff Machine Learning Engineer

$201K–$352K

Santa Clara, CALIFORNIA, United States · Senior Staff · Full-time · Posted Sep 21, 2026

Experience
6+ years of software engineering.
Visa sponsorship
For roles requiring access to controlled technology, employment is contingent on obtaining any required export license or other government approval.

About the job

Designs, builds, and operates production-grade agentic AI systems that reason over enterprise data, take action across workflows, and remain safe at scale.

What you'll do

  • Design and ship multi-agent systems, including orchestration, tool use, planning, memory, and failure recovery.
  • Build retrieval-grounded agents and integrate, evaluate, and deploy frontier models for production use cases.
  • Set architectural patterns, lead design reviews, and establish safety, observability, and governance practices.

What they ask for

  • 6+ years of software engineering, with strong fundamentals in data structures, algorithms, and distributed systems.
  • Hands-on experience designing, shipping, and operating agentic systems in production.
  • Production-grade Python and working experience with frontier AI SDKs (Anthropic, Google, or OpenAI).
  • Production familiarity with RAG and retrieval patterns, plus a track record of technical leadership.

Nice to have

  • Systems language experience (Go, Java, or C++); deeper specialization in search and retrieval at scale or MLOps/model observability.
  • Published work or open-source contributions in agentic systems or retrieval; exposure to LLM fine-tuning or inference optimization in production.

Pay

$201,300 - $352,300 USD base pay

Tools

Python, Go, Java, C++, Anthropic, Google, OpenAI, MCP

AI focus

Build production agentic AI systems, including multi-agent orchestration, enterprise-grounded reasoning, retrieval and RAG, model integration and evaluation, and safety and governance.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)