
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...
Overview
Anthropic is seeking an AI Research Engineer for their Reward Models Platform to automate research workflows and build scalable tools for model training. This role requires collaboration with researchers and a focus on optimizing reward methodologies.
Job Description
Who you are
You have a strong background in AI research and engineering, with a keen understanding of the workflows involved in fine-tuning AI models. You are passionate about creating reliable and interpretable AI systems that can benefit users and society. You thrive in collaborative environments and enjoy partnering with researchers to identify and solve high-friction challenges in their workflows. You are motivated by the opportunity to make significant contributions to the development of AI technologies that are safe and beneficial.
What you'll do
In this role, you will work closely with the Finetuning teams to understand their research workflows and identify areas for automation. Your primary responsibility will be to build tools and infrastructure that streamline the experimentation process, reducing the time researchers spend on manual tasks. You will develop scalable platforms that allow for rapid experimentation with different reward methodologies, enabling the team to iterate quickly and effectively. Additionally, you will contribute directly to research projects, applying your expertise to enhance the development of reward models across various domains.
What we offer
Anthropic offers a competitive compensation package along with benefits that support work-life balance, including generous vacation and parental leave. You will have the opportunity to work in a flexible environment, with options for remote work and travel as needed. Our office in San Francisco provides a collaborative space for you to engage with colleagues and contribute to meaningful projects that aim to advance the field of AI.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Anthropic.
Similar Jobs You Might Like
Based on your interests and this role

Research Scientist
Anthropic is seeking a Senior Research Scientist to lead research on reward models for AI systems. You'll focus on improving how models learn human preferences and collaborate with various teams to enhance model capabilities. This role requires expertise in machine learning and reinforcement learning.

Ai Research Engineer
Anthropic is seeking an AI Research Engineer to develop next-generation training environments for agentic AI systems. You'll work on reinforcement learning and collaborate across teams to push the boundaries of AI capabilities. This role requires a blend of research and engineering skills.

Ai Research Engineer
Anthropic is hiring an AI Research Engineer for their Audio team to develop advanced audio technologies using large language models. You'll work on audio codecs, speech models, and more in a remote-friendly environment with locations in San Francisco, Seattle, and New York City.

Ai Research Engineer
Anthropic is hiring a Lead AI Research Engineer to design and implement their evaluation platform for AI models. You'll work at the intersection of research and engineering to enhance model capabilities and safety. This role requires strong technical leadership and collaboration skills.

Ai Research Engineer
Anthropic is hiring a Research Engineer for their Post-Training team to enhance AI model capabilities and safety. You'll work with Python and various machine learning techniques to implement and optimize post-training processes. This role requires experience in AI and machine learning.