ServiceNow AI Lab

Company Description

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.

If you want to make work, work better, we want you. To learn more, check out our Early Career Page!  

The ServiceNow Applied AI Lab advances state-of-the-art AI and turns research into real product impact. We build and validate proof-of-concepts (PoCs), test new ideas quickly, and collaborate across product, engineering, and research to ship meaningful AI capabilities.

Job Description

As an Applied AI Early Career Engineer in the AI Lab, you will collaborate with a team of like-minded developers, research scientists, product managers and engineers to produce top quality research. You will collaborate with our team to develop innovative AI proof-of-concepts (PoCs). Your role includes working closely with Product Managers and Engineers to clarify project objectives, define success criteria, and assess risks. You will tackle complex problems, design and evaluate machine learning models, and analyze datasets. Reporting on performance, conducting error analysis, and iterating on results are key to delivering impactful AI capabilities. Key duties also include clear documentation of methods and results and presenting your findings and recommendations to both technical and non-technical stakeholders. This full-time, 6-month paid program offers a unique opportunity to stay at the forefront of AI research while contributing to meaningful product development.

What you’ll gain

• Mentorship from experienced researchers and engineers.
• Exposure to real product problems and decision-making.
• Opportunity to publish internal findings, explore patent opportunities and potentially co-author papers where appropriate.
• A robust portfolio of PoCs and measurable impact on ServiceNow products.

How to apply

• Resume/CV and unofficial transcript
• Brief cover letter (1–2 paragraphs) describing your research interests and a PoC or research project you’re proud of
• Links to publications, preprints, GitHub, or portfolio (if available)

Qualifications

• Currently enrolled in a Master’s or PhD program in Computer Science, AI, or a closely related field; or a recent graduate (within the last 12 months) from such a program.
  • Graduated no earlier than December 2024.
• Bachelor’s and Masters degree in Computer Science or related fields.

• Must be able to obtain and maintain authorization to work.
• Capable of committing to a full-time schedule starting November 3, 2025-March 31, 2026.

• Demonstrated skills in machine learning (coursework, research, internships, open-source contributions, or substantial projects).
• Demonstrated skills in probability, statistics, and data science
• Ability to rapidly create AI agents and apps using LLM APIs and coding enhancement tools such as Cursor/Windsurf, Codex or Claude
• Ability to implement, train, and evaluate machine learning models (e.g., classical ML, deep learning, NLP/LLMs, retrieval, or multimodal as relevant).
• Proficiency in Python and at least one ML framework (e.g., PyTorch or TensorFlow); solid understanding of data handling, experimentation, and evaluation.
• Strong analytical, problem-solving, and communication skills.
• Ability to work both independently and collaboratively in a fast-paced research environment.

Preferred qualifications

• Prior research experience in AI/ML; publications in peer-reviewed venues (conferences, journals, or workshops).
• Experience with LLMs and modern NLP (prompting, fine-tuning, RAG), vector databases, and evaluation methodologies.
• Experience with MLOps or cloud (AWS, Azure, or GCP), experiment tracking, and reproducibility best practices.

**this is a remote job for candidates who are not local to one of our offices

For positions in this location, we offer a base pay of $63.35/hour, 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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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. 

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