Research Engineer / Research Scientist, Multimodal

Anthropic is seeking a Research Engineer / Research Scientist for their Multimodal team. The role involves working on foundational research, building infrastructure, and data ingestion for multimodal AI systems.

Key responsibilities include:

• Developing new architectures for modeling multimodal data
• Building complex multimodal reinforcement learning environments
• Creating high-performance RPC servers for processing image inputs
• Developing sandboxing infrastructure for secure data collection
• Creating tools to collect, process and clean multimodal data at scale

The ideal candidate should have:

• Significant software engineering experience
• Results-oriented approach with flexibility and focus on impact
• Willingness to take on tasks outside their job description
• Enjoyment of pair programming
• Interest in machine learning research
• Concern for the societal impacts of their work

Strong candidates may also have experience with:

• High performance, large-scale ML systems
• GPUs, Kubernetes, PyTorch, or OS internals
• Language modeling with transformers
• Reinforcement learning
• Large-scale ETL

Anthropic offers competitive compensation including salary, equity, and benefits. They have a hybrid work policy requiring at least 25% time in office. Visa sponsorship may be available.

The company is focused on creating reliable, interpretable and steerable AI systems, with a mission to ensure AI is safe and beneficial. They value diverse perspectives and encourage applications from underrepresented groups.

This role offers the opportunity to work on cutting-edge multimodal AI research and development with potential for significant real-world impact.