
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 hiring a Model Quality Software Engineer to enhance Claude's coding capabilities through tooling and infrastructure. You'll collaborate with researchers to build systems that evaluate model performance. This role requires strong engineering skills and the ability to tackle complex problems.
Job Description
Who you are
You have a strong background in software engineering and are comfortable working at the intersection of engineering and research. You thrive in fast-paced environments and enjoy tackling ambiguous problems, turning them into reliable infrastructure that accelerates research efforts. Your experience includes designing and building complex systems that measure model capabilities across diverse tasks. You are passionate about AI and its potential to be safe and beneficial for society.
Desirable
Experience with AI systems or machine learning frameworks is a plus, as is familiarity with coding evaluation metrics. You are a collaborative team player who enjoys working closely with researchers and engineers to improve AI capabilities. You have a proactive mindset and are eager to contribute to the mission of creating reliable and interpretable AI systems.
What you'll do
In this role, you will design and build evaluation systems that measure the capabilities of AI models like Claude across various coding tasks. You will collaborate with researchers to develop tooling and infrastructure that enables efficient experimentation and evaluation. Your responsibilities will include identifying gaps in model performance and implementing solutions to close those gaps. You will also contribute to the overall improvement of Claude's coding capabilities, ensuring that the systems you build are robust and scalable.
What we offer
Anthropic offers competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will have flexible working hours and the opportunity to work in a collaborative office environment in either San Francisco or New York. Join a team of committed researchers and engineers dedicated to building beneficial AI systems that prioritize safety and interpretability.
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