Specialist, Offensive AI Security - Red Team
665 Clyde Avenue, Mountain View, CA, USA
Samsung Research America
For more than 70 years, Samsung has been at the forefront of innovation. Our discoveries, inventions and breakthrough products have helped shape the history of the digital revolution. We continue to expand our global reach and open new...Lab Summary:
Samsung Knox™ (https://www.samsungknox.com/) is Samsung’s guarantee of security, and a secure device gives you the freedom to work and play how, where, and when you want. Samsung Knox consists of a highly secure platform built into a variety of Samsung devices, including Samsung’s mobile phones and laptop computers.
Come join the Samsung KNOX team and help us define and develop the future core technologies for Samsung devices and services!
Position Summary:
We are looking for an Offensive AI Security Specialist to tackle the evolving security challenges in AI and machine learning systems. You will define security methodologies, identify threats to AI models, and develop tools to ensure the robustness of our AI features
Position Responsibilities:
- Define and implement AI security methodologies for safeguarding AI models
- Analyze Samsung mobile AI features and identify potential vulnerabilities
- Develop automated tools using AI for vulnerability discovery, such as AI-driven fuzzing solutions
- Research security threats and attack vectors targeting machine learning models
- Simulate adversarial attacks, including data poisoning and input manipulation, to strengthen AI resilience
- Collaborate with teams to improve AI features and ensure adherence to AI security best practices
Required Skills:
- Bachelor’s degree in Computer Science, Cybersecurity, or a related field, or equivalent combination of education, training, and experience
- 5+ years of experience in AI/ML security or vulnerability research
- Proficiency in Python, TensorFlow, or PyTorch, with experience in adversarial machine learning
- Familiarity with Red Team rules of engagement & best practices
- Strong communication, documentation, and reporting skills
Special Attributes:
- Experience with AI fuzzing tools and securing AI pipelines
- Familiarity with AI ethics/safety policies and privacy-preserving AI methodologies
- Proficiency with RAG, Quantization, Fine-Tuning, and other practical LLM development skills
Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.Base Pay Range$151,200—$207,750 USD
Additional Information
Be careful not to disclose information related to the trade secrets of your previous or current employer(s)
Essential Job Functions
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.
Affirmative Action / Equal Opportunity
Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to the links below.
Tags: Computer Science LLMs Machine Learning Privacy Python Red team Vulnerabilities
Perks/benefits: Career development Gear Salary bonus
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