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Research Engineer - Pretraining

AnthropicLondon, UK
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related discipline. Strong software engineering skills with demonstrated experience in building complex systems. Proficiency in Python and experience with deep learning frameworks (preferably PyTorch). Familiarity with large-scale machine learning, especially in the context of language models. Adept at balancing research objectives with practical engineering challenges. Strong problem-solving abilities and a results-driven mindset. Excellent communication skills with a collaborative approach to work. A commitment to considering the societal implications of your work.

About the job

About Anthropic

At Anthropic, we are dedicated to pioneering safe, interpretable, and controllable AI systems. Our goal is to ensure that AI technologies are beneficial for users and society at large. We have assembled a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders working collaboratively to create advanced AI systems that serve humanity well.

As a leader in AI research, Anthropic is committed to developing ethical, powerful artificial intelligence. We aim to align transformative AI systems with human values. We invite you to join our Pretraining team as a Research Engineer, where you will be instrumental in creating the next generation of large language models. This role allows you to operate at the crossroads of cutting-edge research and practical engineering, playing a key part in building safe, steerable, and trustworthy AI systems.


Key Responsibilities:

  • Conduct innovative research and develop solutions in areas such as model architecture, algorithms, data processing, and optimization techniques.

  • Independently lead small-scale research projects while partnering with colleagues on larger initiatives.

  • Design, execute, and analyze scientific experiments to deepen our understanding of large language models.

  • Enhance and scale our training infrastructure to boost efficiency and reliability.

  • Develop and refine development tools to improve team productivity.

  • Contribute across the entire stack, from low-level optimizations to high-level model design.

About Anthropic

Anthropic is a leading organization in artificial intelligence research, focused on the development of safe, ethical, and impactful AI technologies. Our mission is to ensure that advanced AI systems are aligned with human interests, fostering a positive influence on society.

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