Senior Research Engineer

The role

A Senior Research Engineer will join an existing workstream to lead projects. Work includes detecting and preventing deception, preventing catastrophic misuse, or accelerating research through infrastructure and frameworks.

What you will do

• Lead projects within existing workstreams
• Detect and prevent deception through large-scale training of transformers
• Apply research insights to detect and mitigate vulnerabilities in frontier AI models
• Build frameworks and infrastructure to accelerate research and run experiments

Required qualifications

• Significant software engineering experience
• Fluent working in Python
• Results-oriented and motivated by impactful research
• Prior experience mentoring other engineers or scientists in engineering skills
• Substantial experience training transformers with common ML frameworks like PyTorch or jax (Option 1)
• Good knowledge of basic linear algebra, calculus, vector probability, and statistics (Option 1)
• Experience building high-performance distributed-systems (Option 2)
• Experience optimizing and profiling code (Option 2)
• Experience designing large-scale software systems (Option 3)
• Comfortable project managing small teams (Option 3)

Nice to have

• Power user of cluster orchestrators such as Kubernetes (Option 2)

Benefits

• Work-related travel expenses paid
• Work-related equipment expenses paid
• Catered lunch and dinner at the Berkeley office

Before you apply

• 72-minute programming assessment
• Two interviews with members of technical staff
• 1-2 week paid work trial

About the company

FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. It conducts pre-deployment testing, independent evaluations, and publishes AI safety research.