About Anthropic
Building safe and reliable AI systems for everyone
Key Highlights
- Headquartered in SoMa, San Francisco, CA
- Raised $29.3 billion in funding, including $13 billion Series F
- Over 1,000 employees focused on AI safety and research
- Launched Claude, an AI chat assistant rivaling ChatGPT
Anthropic, headquartered in SoMa, San Francisco, is an AI safety and research company focused on developing reliable, interpretable, and steerable AI systems. With over 1,000 employees and backed by Google, Anthropic has raised $29.3 billion in funding, including a monumental Series F round of $13 b...
🎁 Benefits
Anthropic offers comprehensive health, dental, and vision insurance for employees and their dependents, along with inclusive fertility benefits via Ca...
🌟 Culture
Anthropic's culture is rooted in AI safety and reliability, with a focus on producing less harmful outputs compared to existing AI systems. The compan...
Machine Learning Engineer • Mid-Level
Skills & Technologies
Overview
Anthropic is hiring ML/Research Engineers to develop systems that detect and mitigate misuse of AI technologies. You'll work with Python and machine learning frameworks like TensorFlow and PyTorch. This role requires experience in building classifiers and monitoring systems for AI safety.
Job Description
Who you are
You have a strong background in machine learning and AI, with experience in developing classifiers to detect misuse and anomalous behavior at scale. Your expertise includes building synthetic data pipelines and methods for evaluating AI systems effectively. You are familiar with threat modeling and have a keen understanding of the safety implications of AI technologies.
You possess excellent problem-solving skills and can work collaboratively with cross-functional teams to ensure the safety and reliability of AI systems. Your experience includes developing defenses against potential misuse and understanding the ethical implications of AI deployment. You are committed to creating beneficial AI systems that prioritize user wellbeing and societal safety.
What you'll do
As a member of the Safeguards ML team, you will develop classifiers to detect misuse and anomalous behavior at scale. This involves creating synthetic data pipelines for training classifiers and methods to automatically source representative evaluations. You will build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts.
You will evaluate and improve the safety of agentic products by developing threat models and environments to test for agentic risks. Additionally, you will conduct research on automated red-teaming to enhance the robustness of AI systems against misuse. Your work will directly contribute to Anthropic's Responsible Scaling Policy commitments, ensuring that AI technologies are safe and beneficial for users and society.
What we offer
Anthropic is a public benefit corporation headquartered in San Francisco, offering competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, and flexible working hours. You will have the opportunity to collaborate with a diverse team of researchers, engineers, and policy experts dedicated to building beneficial AI systems. Join us in our mission to create reliable, interpretable, and steerable AI systems that prioritize safety and societal benefit.
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