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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
Significant software engineering experience
Ability to balance research goals with practical engineering constraints
Willingness to take on tasks outside your job description to support the team
Enjoy pair programming and collaborative work
Desire to learn more about machine learning research
Enthusiasm for working at an organization pursuing large-scale AI research projects
Ambitious goals for AI safety and general progress
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 understanding of large language models
Optimize and scale 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
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Lovely office space for collaboration
Zurich, Switzerland
Why we track Anthropic
Anthropic is an AI safety company building Claude, one of the most capable large language models. They have engineering teams in London, Dublin, and Zurich working on core model development, infrastructure, and safety research. One of the highest-paying companies in AI.
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