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AI Research Scientist

2 months ago

San Francisco, California, United States Anthropic Limited Full time

About Anthropic Limited:

Anthropic Limited is a leader in the field of artificial intelligence research, committed to creating safe, ethical, and powerful AI technologies. Our vision is to ensure that advanced AI systems are aligned with human values and interests.

Position Overview:

We are looking for a Research Scientist / Research Engineer to be part of our Pretraining team, focusing on the development of next-generation large language models. This role merges innovative research with practical engineering, contributing to the creation of reliable, steerable, and trustworthy AI systems.

Key Responsibilities:

  • Engage in research and develop solutions in areas such as model architecture, algorithms, data processing, and optimization techniques.
  • Lead small-scale research initiatives independently while collaborating with colleagues on broader projects.
  • Design, execute, and interpret scientific experiments to enhance our understanding of large language models.
  • Enhance and scale our training infrastructure to boost efficiency and reliability.
  • Improve development tools to increase team productivity.
  • Contribute across the entire technology stack, from low-level optimizations to high-level model design.

Qualifications:

  • Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related discipline.
  • Strong software engineering capabilities with a proven history of building complex systems.
  • Proficiency in Python and familiarity with deep learning frameworks (preferably PyTorch).
  • Experience with large-scale machine learning, especially in the realm of language models.
  • Ability to navigate the balance between research aspirations and practical engineering limitations.
  • Exceptional problem-solving abilities and a results-driven approach.
  • Strong communication skills and a collaborative mindset.
  • A commitment to understanding the societal implications of your work.

Preferred Experience:

  • Experience with high-performance, large-scale machine learning systems.
  • Knowledge of GPUs, Kubernetes, and operating system internals.
  • Background in language modeling using transformer architectures.
  • Familiarity with reinforcement learning methodologies.
  • Experience with large-scale ETL processes.

Ideal Candidate Traits:

  • Significant software engineering experience.
  • A results-oriented mindset with a focus on flexibility and impact.
  • Willingness to take on diverse tasks to support team objectives.
  • Enjoyment of collaborative programming and teamwork.
  • A desire to deepen knowledge in machine learning research.
  • Enthusiasm for working within a cohesive team dedicated to large-scale AI research projects.
  • A focus on aligning cutting-edge models with human values and preferences, as well as interpreting deep neural networks or developing new models for these research areas.
  • A perspective that views research and engineering as interconnected, seeking to understand all facets of our research program to maximize the impact of insights.
  • Aiming for ambitious goals in AI safety and overall progress in the coming years, with a commitment to achieving the best long-term outcomes.

Sample Projects:

  • Enhancing the throughput of innovative attention mechanisms.
  • Evaluating the computational efficiency of various Transformer models.
  • Preparing extensive datasets for optimal model utilization.
  • Scaling distributed training tasks across numerous GPUs.
  • Formulating fault tolerance strategies for our training systems.
  • Creating interactive visualizations of model functionalities, such as attention patterns.

At Anthropic Limited, we prioritize fostering a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds, particularly those from underrepresented groups in technology.

If you are passionate about advancing AI while emphasizing safety and ethics, we look forward to your interest.