ServiceNow

Software Engineer New Grad - AI/ML

USA new gradSoftwareNewPosted yesterday

Location: Mountain View, CA
Type: USA new grad

About this role

From ServiceNow’s careers page.

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

Company Description

Who we are

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce.

Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award.

In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.

By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of ServiceNow and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business.

Come join us!

ServiceNow

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

We are looking for passionate New Graduate Software Engineer Graduate (AI/ML) to join our core AI and Engineering teams at Moveworks. As a New Grad, you won't just be working on toy projects—you will help build and scale the foundation of next-generation 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 our 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 enable LLMs to plan, reason, and execute multi-step tools.
Agentic Harness & Quality: Create safety guardrails and runtime harnesses to ensure 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 directly impact millions of enterprise users.
Rapid Prototyping: Collaborate with senior engineers to prototype, evaluate, and ship new LLM-powered features in a fast-paced environment.
Solve Ambiguous Problems: Tackle complex technical challenges in NLP, retrieval-augmented generation (RAG), dynamic context management, and system latency.
Build Systematic Benchmarks: Learn to design rigourous evaluation rubrics and safety guardrails to measure accuracy, hallucination rates, and enterprise security.
Cross-Functional Collaboration: Partner closely with product managers, UX designers, and senior technical mentors to turn ideas into production code.

Qualifications

Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field (Graduation Date: August 2027 or earlier).
Solid understanding of Machine Learning, NLP, Data Structures, Algorithms, and Software Engineering fundamentals.
Hands-on experience writing clean, efficient code in Python, C++, or Go.
Demonstrated project, internship, or research experience working with LLMs, modern NLP models, RAG pipelines, or ML system infrastructure.
High curiosity, fast learning agility, and enthusiasm for solving hard engineering and AI problems.

Additional Information

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 unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Apply nowOpens ServiceNow’s application page

About this role

From ServiceNow’s careers page.

Company Description

Join us to put AI to work for people.

Job Description

Company Description

Who we are

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce.

Come join us!

ServiceNow

Job Description

Through our general engineering hiring track, you will be matched with one of our 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 enable LLMs to plan, reason, and execute multi-step tools.
Agentic Harness & Quality: Create safety guardrails and runtime harnesses to ensure 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 directly impact millions of enterprise users.
Rapid Prototyping: Collaborate with senior engineers to prototype, evaluate, and ship new LLM-powered features in a fast-paced environment.
Solve Ambiguous Problems: Tackle complex technical challenges in NLP, retrieval-augmented generation (RAG), dynamic context management, and system latency.
Build Systematic Benchmarks: Learn to design rigourous evaluation rubrics and safety guardrails to measure accuracy, hallucination rates, and enterprise security.
Cross-Functional Collaboration: Partner closely with product managers, UX designers, and senior technical mentors to turn ideas into production code.

Qualifications

Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field (Graduation Date: August 2027 or earlier).
Solid understanding of Machine Learning, NLP, Data Structures, Algorithms, and Software Engineering fundamentals.
Hands-on experience writing clean, efficient code in Python, C++, or Go.
Demonstrated project, internship, or research experience working with LLMs, modern NLP models, RAG pipelines, or ML system infrastructure.
High curiosity, fast learning agility, and enthusiasm for solving hard engineering and AI problems.