Senior Research Engineer at ServiceNow - Santa Clara, CALIFORNIA, United States

06Oct

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.

Job Description

What you get to do in this role:

Team

The reliable and secure AI research team’s mission is to innovate and deliver secure, private, and reliable AI for enterprise settings through research-driven adversarial testing, practical defenses and mitigations, and mathematically certified algorithms. The team engages in both fundamental and applied research efforts and collaborates with other research and product teams to deliver on its mission, advancing the frontiers of AI security research while also creating practical solutions that deliver business value within the company.

Role

This person would be the main “software engineer” on the team and would be responsible for maintaining and updating codebases, docker images (all software artifacts) associated with the key codebases that the team uses. They would be responsible for doing code reviews, working with engineers in product teams to get stuff over the fence in the case of transfer of tech, and build tooling/infrastructure for AI security research. They may also be expected (wherever necessary) to build a working knowledge of the ServiceNow Platform and internal software development practices and tooling. They are expected to collaborate effectively with other members of the ReSAI team, the broader research team and other product teams at the company we work with.

Qualifications

To be successful in this role you have:

MS in Computer science with a focus on AI or equivalent job experience;
General python fluency;
Ability to write code that is well tested and documented;
Code comprehension and reviewing;
Understanding of git, docker and similar modern software tools;
Fluency with one of the main DL frameworks – Pytorch ideally or JAX or TF;
Experience with LLMs/VLMs, efficient inference, writing distributed/parallel/concurrent code is welcome;
A curiosity-driven mindset and an interest in fundamental research;
Background in computer science, distributed computing, and deep learning;
Experience with building and managing end-to-end data pipelines, from data extraction and transformation to loading and storage;
Deep understanding of distributed computing and performance optimization techniques;
Ability to work on large projects and take initiative;
A “getting things done” mindset.

FD21

For positions in the Bay Area, we offer a base pay of $151,900 – $258,100, 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 (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

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. Learn more here.

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

ta****************@se********.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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