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Graduate Software Engineer (AI/ML)

ServiceNowMountain View, CAPosted 6 hours ago

Pay
$140k – $170k
per year
Type
Entry level
Full time
Where
Mountain View, CA
Who
Bachelor's or Master's or PhD
Graduates
Apply by
Nov 26, 2026
Date from the posting

About Moveworks and ServiceNow

Moveworks is an Agentic AI Assistant platform that helps the whole workforce. Its platform lets employees use natural language to reach all of their business systems, find answers quickly, and automate tasks. Moveworks was acquired by ServiceNow in December 2025, and the combined team aims to deliver one AI platform for every person and every workflow.

ServiceNow is a global leader in cloud-based workflow technology, serving more than 8,100 customers, including 85% of the Fortune 500. The company was founded in San Diego in 2004.

Job Description

We are looking for new graduate software engineers to join the core AI and Engineering teams at Moveworks. You will help build and scale the foundation of enterprise AI across conversational search, agentic orchestration, evaluation frameworks, and core ML infrastructure.

Through our general engineering hiring track, you will be matched with one of the specialized AI/ML teams based on your skills and interests:

  • GenAI Search Platform: Build conversational search systems using information retrieval, vector search, and LLMs.
  • Agentic System: Develop orchestration architectures that let LLMs plan, reason, and run multi-step tools.
  • Agentic Harness & Quality: Create safety guardrails and runtime harnesses for reliable, deterministic execution.
  • Agentic Evaluation: Design automated evaluation metrics, synthetic datasets, and benchmarking frameworks.
  • Core Infrastructure: Scale high-throughput, low-latency ML pipelines, inference engines, and vector databases.

What You Will Do

  • Ship Production AI: Build, test, and deploy machine learning models and agentic workflows that affect millions of enterprise users.
  • Rapid Prototyping: Work with senior engineers to prototype, evaluate, and ship new LLM-powered features in a fast-paced setting.
  • Solve Ambiguous Problems: Tackle complex challenges in NLP, retrieval-augmented generation (RAG), dynamic context management, and system latency.
  • Build Systematic Benchmarks: Learn to design rigorous evaluation rubrics and safety guardrails that measure accuracy, hallucination rates, and enterprise security.
  • Cross-Functional Collaboration: Partner with product managers, UX designers, and senior technical mentors to turn ideas into production code.

Work Personas

ServiceNow uses flexible work personas (flexible, remote, or required in office) based on the nature of each role and the assigned work location. The company may confirm the distance between your primary residence and the nearest ServiceNow office using a third-party service.

Equal Opportunity

ServiceNow is an equal opportunity employer and considers all qualified applicants regardless of protected characteristics, and considers qualified applicants with arrest or conviction records in line with legal requirements.

Accommodations

ServiceNow is committed to an accessible hiring process. Candidates who need a reasonable accommodation can contact [email protected].

Export Control

Some positions require access to controlled technology under the U.S. Export Administration Regulations (EAR). Employment in those roles depends on ServiceNow obtaining any required export license or approval.

Skills mentioned

  • C++
  • Python
  • Go
  • Machine Learning
  • NLP
  • LLMs
  • RAG
  • Vector Databases

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