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...
Ai Research Engineer
Skills & Technologies
Overview
Anthropic is hiring a Research Engineer specializing in Machine Learning, particularly in Reinforcement Learning. You'll work on advancing AI systems and developing scalable RL infrastructure. This role requires expertise in Python and machine learning techniques.
Job Description
Who you are
You have a strong background in machine learning and reinforcement learning, with experience in developing and implementing algorithms that enhance AI systems. Your expertise in Python allows you to build and optimize models effectively, ensuring they are both reliable and interpretable. You thrive in collaborative environments, working closely with researchers and engineers to push the boundaries of AI capabilities.
You are passionate about creating safe and beneficial AI systems, understanding the ethical implications of your work. Your ability to communicate complex ideas clearly makes you an effective collaborator, whether you're discussing technical details with engineers or presenting findings to stakeholders. You are committed to continuous learning and staying updated with the latest advancements in AI and machine learning.
What you'll do
As a Research Engineer at Anthropic, you will lead efforts in reinforcement learning research and development, contributing to the advancement of AI systems. You will collaborate with cross-functional teams to develop systems that enable models to use computers effectively and enhance their reasoning capabilities. Your work will involve pioneering fundamental RL research for large language models and building scalable RL infrastructure and training methodologies.
You will partner with alignment and frontier red teams to ensure that the systems you develop are both capable and safe. Additionally, you will work closely with the applied production training team to implement research innovations into deployed models, ensuring that your contributions have a real-world impact. Your role will be critical in shaping the future of AI at Anthropic, as you help create systems that are interpretable and steerable.
What we offer
Anthropic offers competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will enjoy flexible working hours and a collaborative office environment in either San Francisco or New York City. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.
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