Staff ML and AI Security Researcher - ServiceNow

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About Digital Technology & The SSO  

We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth.   

We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.   

Ultimately, we strive to make the world work better for our employees and customers when you work in ServiceNow Digital Technology, you work for them.   

The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. 

About the Role  

As a Staff ML/AI Security Researcher, you will be responsible for security auditing of machine learning and AI, including large language models (LLMs), within the ServiceNow platform, and our products, including design and architecture review and implementation review and testing.  

In addition to adversarial machine learning, this will require in-depth knowledge of various approaches to application auditing including secure code review, web application testing, and threat modeling. You’ll work closely with product engineering teams to assist with providing investigative reports for remediation and roadmap planning of platform security enhancements.  

You will also conduct publishable novel research defining new attacks on ML/AI systems and mitigations to those attacks and others as they become known. This will require staying current on ML/AI security by performing literature reviews on academic and applied research into the security of machine learning and AI systems and primitives. 

What you get to do in this role: 

• Perform security auditing to discover, communicate, and recommend remediation activities for security/privacy/legal/ethical considerations in ML and AI models, datasets, and services build on or interacting with them, including: 

• Performing tailored investigations to identify and report on areas and sources of risk 

• Devising actionable, and potentially novel, tailored remediations and recommendations focused on reducing risk 

• Work with engineering teams to support remediation efforts and platform security enhancements 

• Proactively research attack vectors against ML and AI that may affect ServiceNow 

• Publish research demonstrating technical security expertise, such as through academic papers, blog posts, and whitepapers 

To be successful in this role, we need someone who has: 

• Experience in adversarial machine learning, including data poisoning, prompt injection, and model extraction 

• 3-4 years of experience of application security auditing including code review and threat modeling 

• Strong understanding of common application security vulnerability and mitigating controls 

• Experience in security auditing and code review of Java and Python 

• A passion for security, privacy, and problem solving 

• Proven track record of delivering high-quality research outputs and publication of research in the field of security at top-tier venues 

• Ability to deliver technical reports and communicate technical concepts to both non-technical business users, as well as technical stakeholders 

• Strong verbal communication skills with an emphasis on application remediation processes 

• Ability to generate working proof-of-concept exploits for theoretical attacks 

• Fluency in reading academic papers on machine learning and AI 

• Degree in computer science or engineering, artificial intelligence, mathematics, statistics, or informatics, or equivalent work experience 

Preferred Qualifications: 

• Demonstrated interest in ML/AI security and/or privacy such as evidenced by work in differential privacy or secure multiparty computation 

• Demonstrated technical skills and knowledge in deep learning, transformer models, natural language processing 

• Experience with Keras, PyTorch, and/or TensorFlow 

• Master's degree in computer science or engineering, artificial intelligence, mathematics, statistics, or informatics 

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For positions in California (outside of the Bay Area), we offer a base pay of: $149,200 to $261,200, 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. For individuals who will be working in the Bay Area, there is a pay enhancement for positions located in that geographical area; please contact your recruiter for additional information.

ServiceNow is an Equal Employment 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.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at talent.acquisition@servicenow.com for assistance.

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

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