Remote Otter LogoRemoteOtter

Research Engineer / Research Scientist, Multimodal - Remote

Posted 10 weeks ago
Software Development
Full Time
United Kingdom
£250,000 - £270,000/year

Overview

As a Research Engineer at Anthropic, you will build large scale ML systems, focusing on safety, trustworthiness, and efficiency in AI systems.

In Short

  • Build large scale ML systems from the ground up.
  • Improve code and infrastructure reliability.
  • Run and design scientific experiments.
  • Enhance development tooling.
  • Collaborate with a team of researchers and engineers.
  • Focus on societal impacts of AI.
  • Participate in pair programming.
  • Work on high performance ML systems.
  • Engage in projects involving GPUs and Kubernetes.
  • Contribute to language modeling and reinforcement learning.

Requirements

  • Significant software engineering experience.
  • Results-oriented with flexibility and impact.
  • Willingness to learn about machine learning research.
  • Experience with high performance ML systems.
  • Familiarity with GPUs, Kubernetes, and Pytorch.
  • Knowledge of language modeling with transformers.
  • Experience in reinforcement learning.
  • Ability to handle large-scale ETL processes.

Benefits

  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • Collaborative office space.
Anthropic logo

Anthropic

Anthropic is a forward-thinking company focused on developing AI assistants that prioritize being helpful, harmless, and honest. With a commitment to ensuring the safe and ethical use of AI technologies, Anthropic's Trust and Safety (T&S) team plays a crucial role in protecting users from the potential risks associated with powerful AI systems. The company emphasizes collaboration across research, product, and engineering teams to create robust safety measures and tools that mitigate deployment risks. Anthropic is dedicated to advancing frontier AI models responsibly, making it a leader in the AI landscape.

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