Research Engineer / Research Scientist, Pre-training
AnthropicAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the team
We are seeking passionate Research Scientists and Engineers to join our growing Pre-training team in Zurich. We are involved in developing the next generation of large language models. The team primarily focuses on multimodal capabilities: giving LLMs the ability to understand and interact with modalities other than text.
In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
Responsibilities
In this role you will interact with many parts of the engineering and research stacks.
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Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
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Independently lead small research projects while collaborating with team members on larger initiatives
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Design, run, and analyze scientific experiments to advance our understanding of large language models
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Optimize and scale our training infrastructure to improve efficiency and reliability
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Develop and improve dev tooling to enhance team productivity
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Contribute to the entire stack, from low-level optimizations to high-level model design
Qualifications & Experience
We encourage you to apply even if you do not believe you meet every single criterion. Because we focus on so many areas, the team is looking for both experienced engineers and strong researchers, and encourage anyone along the researcher/engineer spectrum to apply.
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Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field
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Strong software engineering skills with a proven track record of building complex systems
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Expertise in Python and deep learning frameworks
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Have worked on high-performance, large-scale ML systems, particular
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