ServiceNow Logo

ServiceNow

Staff Machine Learning Engineer

Posted 2 Hours Ago
Be an Early Applicant
Hybrid
Santa Clara, CA, USA
176K-308K Annually
Entry level
Hybrid
Santa Clara, CA, USA
176K-308K Annually
Entry level
Build and deliver cloud-based AI and machine learning solutions for ServiceNow’s enterprise search platform. Develop high-quality product features using efficient algorithms, collaborate with developers, product managers, and quality engineers, and own software through design, implementation, testing, and deployment. Ensure solutions are reliable, scalable, performant, modular, and well tested while improving intelligent search and enterprise workflow experiences.
The summary above was generated by AI
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

What you get to do in this role:

Job Description

This is a dynamic role where you will drive quality and development excellence across the entire software development lifecycle, from initial design and coding to comprehensive test automation and deployment. You will be responsible for both building high-quality product features and ensuring their reliability, scalability, and performance. 

The Team 

Come join the AI Search UX team and work with a talented group of engineers building out next-generation technologies in the ServiceNow cloud platform. This team is responsible for the cognitive, actionable search functionality and machine learning-based relevancy that help make ServiceNow a powerful platform used by many Fortune 500 companies.  

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

  • Build the best cloud-based AI/ML solutions to power intelligent enterprise services
  • Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
  • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users

Qualifications

To be successful in this role you have:

  • Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that leverage challenging high-performance algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI/ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code tuning

 

For positions in this location, we offer a base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

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 [email protected] 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. 

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

HQ

ServiceNow Santa Clara, California, USA Office

2225 Lawson Lane, Santa Clara, CA, United States, 95054

ServiceNow Pleasanton, California, USA Office

4305 Hacienda Drive, Suite 200, Pleasanton, CA, United States, 94588

ServiceNow San Francisco, California, USA Office

101 Green Street, San Francisco, CA, United States, 94111

Similar Jobs at ServiceNow

Yesterday
Hybrid
Santa Clara, CA, USA
176K-308K Annually
Entry level
176K-308K Annually
Entry level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Designs, develops, evaluates, and deploys cloud-based machine learning and AI solutions for enterprise services. Responsibilities include training and iterating on supervised, unsupervised, deep learning, NLP, and LLM models; converting research into production systems; partnering with product teams; and owning software from design through monitoring. The role may also involve high-scale ML systems, LLM fine-tuning, retrieval-augmented generation, agentic AI, and MLOps pipelines.
Top Skills: Agentic AiDeep LearningJavaLarge Language ModelsMachine LearningMlopsNatural Language ProcessingPythonRetrieval-Augmented Generation
2 Days Ago
Hybrid
Santa Clara, CA, USA
201K-352K Annually
Senior level
201K-352K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture, optimization, deployment, and operational excellence for ServiceNow’s AI inference platform. Own model onboarding, optimized production inference across multiple backends, Kubernetes operations, intelligent gateway architecture using Envoy and ext_proc, observability, routing, incident response, and performance optimization. The role requires deep expertise in backend software engineering, distributed systems, Kubernetes, CI/CD, AI/ML, GPU compute, LLM APIs, and production operations.
Top Skills: Ci/CdContainerizationCursorDistributed SystemsEnvoyExt_ProcGithub CopilotGoGpu ComputeHelmInference FrameworksKubernetesLlm ApisPython
9 Days Ago
Hybrid
Santa Clara, CA, USA
176K-308K Annually
Senior level
176K-308K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, develop, and deploy scalable Voice AI platforms and distributed systems across regions and datacenters. Build audio acquisition, conversation management, speech generation, model integrations, and voice harness capabilities. Partner with product managers and customers, improve SRE tooling, enforce software engineering best practices, and mentor engineering colleagues. The role requires extensive experience with LLM applications, AI agents, programming, Kubernetes, and highly available workloads.
Top Skills: Claude CodeCursorDevOpsDistributed SystemsGoJavaKubernetesLarge Language Models (Llms)PythonVoice AiWindsurf

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account