Job Description

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are seeking an exceptional Insider Risk Investigator with expertise in both technical investigations and hardware forensics to support and protect Anthropic's mission. The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's IP and trade secrets. In this role, you will have the opportunity to strengthen our security capabilities from the ground up, with a special focus on building out our in-house hardware forensics capabilities alongside our world-class research and security teams. Responsibilities: Independently conduct comprehensive end-to-end insider risk investigations while working closely with IT, SecEng, Legal, HR and other cross-functional teams. Lead the development and implementation of in-house hardware forensics capabilities, including establishing procedures, acquiring tools, and building expertise. Conduct forensic analysis on mobile devices, computers, and other hardware using industry-standard tools such as Cellebrite, Magnet Axiom, EnCase, and similar platforms. Develop and maintain chain of custody procedures for physical and digital evidence collection. Support development of digital evidence collection and analysis processes and procedures. Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks. Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies. Create and maintain documentation for hardware forensics procedures, ensuring compliance with legal and regulatory requirements. Support education and awareness programs to promote a robust security culture. Serve as the subject matter expert for hardware forensics and provide training to team members as needed. You may be a good fit if you have: Bachelor's degree and/or higher education in a related field. 8+ years of experience in insider risk analysis, investigations, cybersecurity or a related domain. 8+ years of hands-on experience with hardware forensics tools, particularly Cellebrite, FTK, EnCase, Axiom Magnet, or similar platforms. Demonstrated experience in mobile device forensics (iOS/Android) and macOS computer forensics. Knowledge of DLP, UEBA, SIEM, SOAR and other insider risk security tooling. Understanding of forensic imaging, data extraction, and analysis methodologies. Broad understanding of internal and external investigations, cybersecurity, surveillance, interview techniques, risk assessment and managing strong cross-functional relationships. Experience with maintaining chain of custody and partnering with legal to prepare forensic reports for legal proceedings. Exceptional communication, collaboration skills and the ability to lead projects with little guidance. Strong candidates may also have: Experience working in the technology industry or at/with AI/ML companies. Certifications such as CCE (Certified Computer Examiner), CCPA (Cellebrite Certified Physical Analyst), GIAC Certified Forensic Examiner, GIAC iOS and macOS Examiner (GIME), or CCME (Cellebrite Certified Mobile Examiner). Experience with additional forensics tools such as FTK, Volatility, Autopsy, Sleuth Kit, XRY, Oxygen Forensics, or EnCase. Experience contributing to a high growth startup environment. Specialized knowledge of risks unique to the AI sector. Certified Fraud Examiner (CFE) credential. Experience building forensics labs and establishing forensics programs from the ground up. Knowledge of anti-forensics techniques and countermeasures. Candidates need not have: 100% of the skills needed to perform the job All certifications or educational credentials listed Prior experience working in the AI field Deadline to apply None. Applications will be reviewed on a rolling basis. Logistics Location-based hybrid policy: Most positions we expect all staff to be in one of our offices at least 25% of the time. This position requires at least 50% or more on-site with the ability to travel with short notice. The expected salary range for this position is: Annual Salary: $220,000 — $275,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process #J-18808-Ljbffr Menlo Ventures

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