Software Engineer (Safety)

About the role

Faculty is seeking a Software Engineer to join their National Security and AI Safety business unit. You will bridge the gap between AI research and real-world impact by building scalable, production-grade machine learning systems for high-stakes missions. The role involves collaborating with cross-functional teams to deliver bespoke AI solutions and reinforcing the company's leadership in practical AI safety.

Responsibilities

• Building and deploying production-grade ML software, tools, and infrastructure.
• Creating reusable, scalable solutions that accelerate the delivery of ML systems and capability testing of Frontier AI models.
• Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
• Leading technical scoping and architectural decisions to ensure project feasibility and impact.
• Defining and implementing Faculty’s standards for deploying machine learning at scale.
• Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.

Required skills

• Python
• Software engineering
• Cloud platforms
• AWS
• Azure
• GCP
• Docker
• Kubernetes
• Machine learning
• LLM applications
• AI Safety evaluation
• Scikit-learn
• TensorFlow
• PyTorch

About the Company

Faculty was established in 2014 to advance human-centric AI. They work with global customers across government, finance, energy, and defence to build and deploy responsible AI solutions.