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You will be updated with latest job alerts via email$ 280000 - 340000
1 Vacancy
Anthropics 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.
Safeguards Dangerous Asymmetric Harms is a team responsible for developing comprehensive safety systems and policy boundaries across CBRNE (Chemical Biological Radiological Nuclear and Explosive) Cyber and Dangerous Asymmetric Advanced Technologiesaddressing threats from everyday trust and safety risks to catastrophic AI scenarios. We blend domain expertise in CBRNE and Cyber with ML engineering to create classifiers evaluation infrastructure threat models and conduct RL experiments. The team also performs AI capability uplift testing through partnerships with government laboratories and private industry leveraging real-world cross-functional experience.
We are looking for a Research Scientist CBRN (Bio/Chem) ML Systems who can execute rapidly maintain high throughput and bring a strong builder mindset to solving complex problems. The ideal candidate will combine deep biological/chemical domain expertise with advanced ML capabilities to build systems that evaluate and prevent dangerous capability development. Youll be designing novel approaches to detect threats that span from traditional biological weapons to AI-enabled synthetic biology risks requiring both technical sophistication and creative problem-solving.
This role is primarily focused building advanced ML systems x Biological and Chemical Weapons. You will use your deep technical expertise to inform ML solutions that prevent real world harm.
Do not rule yourself out if you do not fit every qualification - we recognize that the intersection of advanced biology and ML for security applications is a rare combination. If you have deep expertise in biological threats and are eager to apply ML to prevent catastrophic risks please consider applying.
Dual-use navigation: Balance the advancement of beneficial biotechnology with the prevention of malicious applications
The expected salary range for this position is:
Annual Salary:
$280000 - $340000 USD
Education 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.
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. 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.
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.
Full Time