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AI Research Scientist

2 months ago

San Francisco, California, United States Anthropic Limited Full time

About Anthropic Limited:

Anthropic is a leading organization in the field of artificial intelligence research, committed to the development of safe, ethical, and impactful AI technologies. Our primary goal is to ensure that advanced AI systems are aligned with human values and interests.

Position Overview:

We are in search of a Research Scientist / Research Engineer to become a vital part of our Pretraining team. This role focuses on the innovation and enhancement of the next generation of large language models. You will engage in a unique blend of pioneering research and practical engineering, playing a crucial role in the creation of safe, controllable, and reliable AI systems.

Key Responsibilities:

  • Engage in research and implement solutions in domains such as model architecture, algorithms, data processing, and optimizer development.
  • Lead smaller research initiatives independently while collaborating with colleagues on larger projects.
  • Design, execute, and evaluate 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 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 history of constructing complex systems.
  • Proficiency in Python and familiarity with deep learning frameworks (preferably PyTorch).
  • Experience with large-scale machine learning, especially in relation to language models.
  • Ability to balance research objectives with practical engineering challenges.
  • Strong analytical skills and a results-driven approach.
  • Excellent communication abilities 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.
  • Experience in language modeling utilizing transformer architectures.
  • Familiarity with reinforcement learning methodologies.
  • Background in large-scale ETL processes.

Ideal Candidate Attributes:

  • Possesses significant software engineering experience.
  • Results-oriented with a focus on flexibility and impact.
  • Willing to take on diverse tasks to support team objectives.
  • Enjoys collaborative programming and teamwork.
  • Eager to expand knowledge in machine learning research.
  • Enthusiastic about working in a cohesive team dedicated to large-scale AI research.
  • Aims to align cutting-edge models with human values and preferences, interpret deep neural networks, or develop new models to support these research areas.
  • Views research and engineering as interconnected disciplines and seeks to understand all facets of our research program to maximize the impact of insights.
  • Holds ambitious goals for AI safety and progress in the coming years, striving to create optimal long-term outcomes.

Sample Projects:

  • Enhancing the throughput of innovative attention mechanisms.
  • Evaluating compute efficiency across various Transformer models.
  • Preparing extensive datasets for effective model utilization.
  • Scaling distributed training tasks to thousands of GPUs.
  • Designing fault tolerance strategies for our training infrastructure.
  • Creating interactive visualizations of model internals, such as attention patterns.

At Anthropic, we are dedicated to cultivating a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in technology.

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