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AI Research Scientist

2 months ago

San Francisco, California, United States Anthropic Limited Full time

At Anthropic Limited, we are pioneers in the field of artificial intelligence research, committed to the creation of safe, ethical, and impactful AI technologies. Our vision is to ensure that advanced AI systems are in harmony with human values. We are in search of a Research Scientist / Research Engineer to become a vital part of our Pretraining team, focusing on the innovation of next-generation large language models. This position involves a unique blend of groundbreaking research and practical engineering, aimed at fostering the development of safe, controllable, and reliable AI systems.

Key Responsibilities:

  • Engage in research and implement innovative solutions in domains such as model architecture, algorithm design, data processing, and optimization techniques.
  • Lead independent research initiatives while collaborating with colleagues on broader projects.
  • Design, execute, and interpret scientific experiments to enhance our comprehension of large language models.
  • Refine and scale our training infrastructure to boost efficiency and dependability.
  • Enhance development tools to improve team productivity.
  • Contribute across the entire technology stack, from low-level optimizations to high-level model architecture.

Qualifications:

  • Possess an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related discipline.
  • Demonstrate strong software engineering capabilities with a history of developing complex systems.
  • Exhibit expertise in Python and familiarity with deep learning frameworks, preferably PyTorch.
  • Have knowledge of large-scale machine learning, especially concerning language models.
  • Balance research aspirations with practical engineering realities.
  • Showcase strong analytical skills and a results-driven approach.
  • Possess excellent communication abilities and thrive in a collaborative setting.
  • Exhibit a commitment to the societal implications of your work.

Preferred Experience:

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

You'll excel in this role if you:

  • Have substantial software engineering experience.
  • Are results-oriented with a focus on flexibility and impact.
  • Are willing to take on responsibilities beyond your formal job description to assist the team.
  • Enjoy collaborative programming and teamwork.
  • Are eager to expand your knowledge in machine learning research.
  • Are enthusiastic about working in an organization that operates as a unified team pursuing large-scale AI research projects.
  • Are dedicated to aligning state-of-the-art models with human values and preferences, interpreting deep neural networks, or innovating new models to support these research areas.
  • View research and engineering as interconnected disciplines and strive to understand all facets of our research program to maximize the impact of your contributions.
  • Have ambitious aspirations for AI safety and overall progress in the coming years, working towards optimal long-term outcomes.

Sample Projects:

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

At Anthropic Limited, 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 the frontiers of AI while prioritizing safety and ethics, we are eager to hear from you.