Research Engineer – Cybersecurity RL at Anthropic

About AnthropicAnthropics 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 HorizonsThe Horizons team leads Anthropics reinforcement learning (RL) research and development playing a critical role in advancing our AI systems. Weve contributed to every Claude release with significant impact on the autonomy coding and reasoning capabilities of Anthropics models.About the roleWere hiring for the Cybersecurity RL team within Horizons. As a Research Engineer youll help to safely advance the capabilities of our models in secure coding vulnerability remediation and other areas of defensive cybersecurity.This role blends research and engineering requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments conducting experiments and evaluations delivering your work into production training runs and collaborating with other researchers engineers and cybersecurity specialists across and outside Anthropic.The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example you might be a white hat hacker whos curious about how LLMs could augment or transform your work a security engineer interested in how AI could help harden systems at scale or a detection and response professional wondering how models could enhance defensive workflows.You may be a good fit if you:Have experience in cybersecurity research.Have experience with machine learning.Have strong software engineering skills.Can balance research exploration with engineering implementation.Are passionate about AIs potential and committed to developing safe and beneficial systems.Strong candidates may also have:Professional experience in security engineering fuzzing detection and response or other applied defensive work.Experience participating in or building CTF competitions and cyber ranges.Academic research experience in cybersecurity.Familiarity with RL techniques and environments.Familiarity with LLM training methodologies.The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.Annual Salary:$300000 - $405000 USDLogisticsEducation requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 were differentWe 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. Were 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 aboutour policyfor using AI in our application process Key Skills Robotics,Machine Learning,Python,AI,C/C++,OS Kernels,Research Experience,Matlab,Rust,Research & Development,Natural Language Processing,Tensorflow Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 300000 - 405000