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AI Research Scientist

2 months ago

San Francisco, California, United States Anthropic Limited Full time

At Anthropic Limited, we are pioneering advancements in artificial intelligence, focusing on the development of safe, ethical, and impactful AI technologies. Our objective is to ensure that innovative AI systems are aligned with human values. We are in search of a Research Scientist / Research Engineer to become a vital part of our Pretraining team, which is dedicated to crafting the next generation of large language models. This position offers an opportunity to engage in both groundbreaking research and practical engineering, contributing to the creation of reliable, steerable, and trustworthy AI systems.

Key Responsibilities:

  • Engage in research and implement solutions across various domains, including model architecture, algorithms, data processing, and optimizer development.
  • Independently manage smaller research initiatives while collaborating with colleagues on broader projects.
  • Design, execute, and evaluate scientific experiments to enhance our understanding of large language models.
  • Optimize and scale our training infrastructure to boost efficiency and reliability.
  • Develop and refine development tools to improve team productivity.
  • Contribute to all aspects of the stack, from low-level optimizations to high-level model design.

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 building complex systems.
  • Exhibit expertise in Python and familiarity with deep learning frameworks (preferably PyTorch).
  • Have knowledge of large-scale machine learning, especially in relation to language models.
  • Balance research objectives with practical engineering limitations.
  • Showcase strong problem-solving abilities and a results-driven approach.
  • Possess excellent communication skills and the ability to thrive in a collaborative setting.
  • Demonstrate 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 job description to support the team.
  • Enjoy collaborative work and pair programming.
  • Are eager to expand your knowledge in machine learning research.
  • Are enthusiastic about working in an organization that operates as a unified team focused on large-scale AI research projects.
  • Are dedicated to aligning state-of-the-art models with human values and preferences, interpreting deep neural networks, or developing 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 insights.
  • Have ambitious aspirations for AI safety and overall progress in the coming years, and are committed to achieving the best long-term outcomes.

Sample Projects:

  • Enhancing the throughput of innovative attention mechanisms.
  • Evaluating the computational efficiency of various Transformer variants.
  • Preparing extensive datasets for effective model utilization.
  • Scaling distributed training tasks across numerous 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 actively 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 look forward to your interest.