Security Software Engineer: Detection Platform (Insider Risk)
Anthropic
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 Software Engineer focusing on Insider Risk tooling, you will join the Detection Platform Engineering team and leverage the systems and tooling we are building to suit the needs of the Insider Risk team. You will combine investigative acumen with detection engineering expertise to build systems and integrations that allow the team to proactively detect and respond to potential insider risk incidents. You will play a critical role in developing and tuning detection pipelines, improving our risk posture and fostering a security-conscious culture.
Responsibilities:
- Support detection engineering for insider risk, contributing to the design and maintenance of detection rules, alerting logic and automation.
- Serve as an engineering resource for Insider Risk investigators, translating business requirements into tooling
- Develop, refine, and operationalize insider threat indicators, scenarios, and mitigation strategies.
- Partner with engineering, IT and security teams to close visibility gaps and ensure telemetry coverage across endpoints, identity systems and collaboration tools
- Design, implement, and oversee data loss prevention (DLP) controls to safeguard sensitive information.
- Partner with investigators on technical investigations into suspicious activities, and generate high-quality investigative reports, assessments, and briefings on findings.
You may be a good fit if you have:
- Educational Background: Bachelor’s degree in a relevant field or equivalent experience.
- Professional Experience: 5+ years in software engineering with a focus on security (anomaly detection, insider threat analysis, security operations, or a related domain), with hands on experience building or maintaining detection tooling and pipelines.
- Technical Proficiency: Engineering experience with DLP, SIEM, EDR, NDR, and SOAR technologies: You have on-boarded logs and built custom detections/automations for complex environments.
- Investigation Expertise: strong ability to perform forensic analysis, correlate disparate data sources and uncover meaningful patterns of anomalous behavior
- Communication Skills: Ability to convey complex security issues to both technical and non-technical stakeholders with clarity and impact.
- Collaborative Mindset: A team player who thrives in cross-functional environments and values diverse perspectives.
Strong candidates may also have:
- Direct experience building insider risk tooling
- Experience with large-scale data pipelines and anomaly detection
- Track record of applying ML/AI to security problems
The expected salary range for this position is:
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.