Safeguards Analyst, Cyber Harms

San Francisco, CA | New York City, NY | Seattle, WA

Anthropic

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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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

As a Safeguards Analyst focusing on Cyber Harms, you will play a critical role in protecting our platform and users from cyber security risks through consistent policy enforcement and trend analysis.

Important Context: In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

  • Enforce trust and safety policies with a specific focus on detecting and mitigating potential cyber security risks and harmful use of AI systems
  • Monitor and analyze platform activity to identify emerging cyber threat patterns and trends that may require policy updates or enforcement actions
  • Work with engineers to develop and iterate on safety systems that govern responsible use of our models for emerging capabilities and use cases related to cyber threats
  • Conduct thorough investigations of potential policy violations related to cyber harms, gathering and documenting evidence to support enforcement decisions, and working to escalate cases with investigations and/or Security to identify coordinated activity
  • Collaborate with the Policy team to provide feedback on policy gaps and ambiguities based on real enforcement scenarios involving cyber threats
  • Support the development and refinement of detection methods for cyber-related abuse through data analysis and pattern recognition
  • Work closely with cross-functional teams to ensure consistent application of policies across different use cases and scenarios
  • Maintain detailed documentation of investigation findings and enforcement actions
  • Participate in regular policy reviews and provide insights from an enforcement perspective
  • Operationalize review workflows and determine prioritization of reviews
  • Handle user appeals and communications related to enforcement actions with professionalism and clarity

You may be a good fit if you have:

  • 2+ years of experience in cybersecurity, or related field
  • Strong understanding of cybersecurity concepts, web security, and common attack patterns
  • Experience in offensive cybersecurity, CTFs, or penetration testing (OSCP Certification is not required, but valued)
  • Ability to utilize Python and/or other data analysis tools and interact with large databases
  • Demonstrated ability to analyze complex situations and make well-reasoned decisions under pressure
  • Strong attention to detail and ability to maintain accurate documentation
  • Excellent written and verbal communication skills
  • Ability to work independently while maintaining strong collaboration with team members
  • Bachelor's degree in Computer Science, Information Security, or related field (or equivalent practical experience)

Strong candidates may:

  • Have a deep interest in AI safety and responsible technology development
  • Have a background in ethical hacking/pen-testing/malware analysis
  • Can balance competing priorities and handle time-sensitive issues effectively
  • Are comfortable working in ambiguous situations and can make sound judgments based on available information
  • Demonstrate strong analytical thinking and problem-solving skills
  • Are proactive in identifying emerging threats and suggesting improvements to existing processes
  • Have experience with or interest in content moderation and policy enforcement at scale
  • Can effectively communicate technical concepts to both technical and non-technical stakeholders



The expected salary range for this position is:

Annual Salary:$170,000—$325,000 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.

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Category: Analyst Jobs

Tags: Anthropic Biology Computer Science Data analysis GPT GPT-3 Physics Python Research Security Testing

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Parental leave

Region: North America
Country: United States

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