Research Engineer

Anthropic creates reliable, interpretable, and steerable AI systems, focusing on safe and beneficial AI development for users and society.
$317,500 - $431,800
Machine Learning
Senior Software Engineer
Hybrid
5+ years of experience
AI

Description For Research Engineer

Anthropic is seeking Research Engineers to revolutionize how Claude interacts with external data sources. This role focuses on redesigning information architecture for the age of Large Language Models, moving beyond traditional human-centric paradigms. As a Research Engineer, you'll be at the forefront of designing new architectures for information organization and training language models to utilize these structures effectively.

The position offers a competitive salary range of £250,000 - £340,000 GBP and includes comprehensive benefits like parental leave, flexible hours, and equity donation matching. Based in San Francisco, Anthropic operates as a public benefit corporation dedicated to developing safe and beneficial AI systems.

The ideal candidate will bring strong Python programming skills, machine learning research experience, and familiarity with LLMs like Claude. You'll work collaboratively with world-class ML researchers, participating in pair programming and contributing to innovative solutions in AI development.

Anthropic approaches AI research as empirical science, similar to physics and biology. The team works cohesively on large-scale research efforts, prioritizing impact and the development of steerable, trustworthy AI. Their research builds on significant work in areas like GPT-3, Circuit-Based Interpretability, and AI Safety.

The company values diversity and encourages applications from candidates who might not meet every qualification, recognizing the importance of varied perspectives in addressing the social and ethical implications of AI systems.

Last updated 14 days ago

Responsibilities For Research Engineer

  • Designing and implementing new information architecture strategies
  • Performing finetuning and reinforcement learning to teach language models
  • Building knowledge base eval sets to identify failure modes
  • Designing and evaluating advanced agentic search capabilities

Requirements For Research Engineer

Python
  • Bachelor's degree in a related field or equivalent experience
  • Very experienced Python programmer
  • Good machine learning research experience
  • Experience developing software with Large Language Models
  • Results-oriented with flexibility
  • Clear written and verbal communication
  • Must be in office at least 25% of the time

Benefits For Research Engineer

Visa Sponsorship
Parental Leave
  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration

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