Research Engineer / Research Scientist, Pre-training at Anthropic

Hybrid - Zürich, CH

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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. We are seeking passionate Research Scientists and Engineers to join our growing Pre‑training team in Zurich. 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.

Requirements

Skills

  • Degree (BA required, MS or PhD preferred) in Computer Science, Machine Learning, or a related field
  • Strong software engineering skills with a proven track record of building complex systems
  • Expertise in Python and deep learning frameworks
  • Have worked on high-performance, large-scale ML systems, particularly in the context of language modeling
  • Familiarity with ML Accelerators, Kubernetes, and large-scale data processing
  • Strong problem-solving skills and a results-oriented mindset
  • Excellent communication skills and ability to work in a collaborative environment

Responsibilities

  • Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
  • Independently lead small research projects while collaborating with team members on larger initiatives
  • Design, run, and analyze scientific experiments to advance our understanding of large language models
  • Optimize and scale our training infrastructure to improve efficiency and reliability
  • Develop and improve dev tooling to enhance team productivity
  • Contribute to the entire stack, from low-level optimizations to high-level model design

Technologies

Pythondeep learning frameworksML AcceleratorsKuberneteslarge-scale data processing

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