Production ML Engineer - Responsible AI & Impact

Faculty is seeking a Machine Learning Engineer to deliver bespoke, production-grade AI solutions for diverse clients. You'll bridge research and real-world impact by building scalable ML systems, collaborating with cross-functional teams, and reinforcing leadership in practical AI safety.

You'll work with Python, cloud platforms (AWS/Azure/GCP), Docker and Kubernetes, and ML frameworks such as Scikit-learn, TensorFlow or PyTorch.