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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.
Overview
This person will lead the Research arm of the Frontier Red Team at Anthropic. The Research team is composed of domain experts in cyber, autonomy, biology, and national security. The Research team’s role is to experiment with the most frontier capabilities and risks from models, and then inform the company, government, labs, and civil society.
The Research team has a particular focus on informing governments' and industry’s understanding of current and future national security-relevant capabilities. It also designs evaluations and mitigation strategies for our Responsible Scaling Policy, while the Production team scales, implements, and runs them. Together, we determine the AI Safety Level (ASL) of Anthropic’s models and what to do about these capabilities.
This team lead’s goal is to lead the team in researching whether enhancing models’ cyber, autonomy, bio, and national security capabilities generates evidence that dramatically alters our understanding of risks. They will manage 5 - 10 people this year.
Requirements
- Experience managing a top tier technical team to quickly conduct ambitious technical research.
- High-level experience in communicating and working with policy principals and the national security community.
- Understanding of evaluations on frontier AI models.
- A bias towards action, speed, and simplicity.
- Located in San Francisco.
Nice to have
- A technical background, such as a PhD w/ published works in Machine Learning, or a background building customer-facing applications.
- Strong understanding of and novel thoughts about our mission, the RSP, and coordination on the path to AGI.
The expected salary range for this position is:
Annual Salary:
$340,000—$560,000 USD
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.
Anthropic San Francisco, California, USA Office
548 Market St, San Francisco, California, United States, 94104
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