Machine Learning Engineer

Core responsibilities:

• Turn cutting edge interpretability research into production ready tools
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference
• Integrate new machine learning workflows and pipelines into our product and deploy to customers
• Ensure system reliability, reproducibility, and performance

This role contributes to building safe and powerful AI systems by advancing humanity's understanding of AI through interpretability research, helping ensure a safe and beneficial future for humanity.

Required skills and experience:

• 5+ years of experience in ML infra, research engineering, or systems programming
• Comfort working across research and engineering boundaries
• Expertise in Python, PyTorch or Jax, and distributed systems
• Experience deploying and maintaining ML systems at scale
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world

Market competitive salary, equity, and competitive benefits. The expected salary range for this position is $200,000 - $400,000 USD.