
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...
π Benefits
Anthropic offers comprehensive health, dental, and vision insurance for employees and their dependents, along with inclusive fertility benefits via Ca...
π 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 β’ Mid-Level
Anthropic β’ San Francisco - Hybrid
Skills & Technologies
Overview
Anthropic is hiring a Research Engineer for their Pre-training team to develop the next generation of large language models. You'll work at the intersection of research and practical engineering, focusing on safe and trustworthy AI systems. This role requires an advanced degree in Computer Science or a related field.
Job Description
Who you are
You hold an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field, and you have a strong foundation in software engineering principles. Your experience includes conducting research and implementing solutions in model architecture, algorithms, and data processing. You are comfortable leading small research projects independently while collaborating with team members on larger initiatives. You have a keen interest in optimizing and scaling training infrastructure to improve efficiency and reliability, and you are passionate about developing tools that enhance team productivity.
You possess strong programming skills, particularly in Python, and have hands-on experience with machine learning frameworks such as TensorFlow and PyTorch. Your background includes designing and analyzing scientific experiments to advance the understanding of large language models. You thrive in a collaborative environment and are eager to contribute to the development of safe, steerable, and trustworthy AI systems. You are committed to ethical AI practices and understand the importance of aligning transformative AI systems with human interests.
What you'll do
As a Research Engineer on the Pre-training team, you will conduct cutting-edge research and implement innovative solutions that contribute to the development of large language models. You will design, run, and analyze scientific experiments to deepen the understanding of these models and their applications. Your role will involve optimizing and scaling the training infrastructure, ensuring that it is efficient and reliable for ongoing research efforts. You will also develop and improve development tooling to enhance the productivity of your team, contributing to the entire stack from low-level optimizations to high-level model design.
You will collaborate closely with a diverse team of researchers and engineers, sharing insights and findings that drive the project forward. Your contributions will play a crucial role in advancing Anthropic's mission to create reliable and interpretable AI systems. You will have the opportunity to lead small research projects, fostering a culture of innovation and collaboration within the team. Your work will directly impact the development of AI systems that are safe and beneficial for users and society as a whole.
What we offer
At Anthropic, we provide a supportive and collaborative work environment where you can thrive as part of a mission-driven team. We offer competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, and flexible working hours. Our office in San Francisco is designed for collaboration, and we encourage a culture of open communication and teamwork. Join us in our commitment to developing ethical AI systems that align with human interests and contribute positively to society.
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