Machine Learning Engineer (Ethics)

Based between London and SF, they’ve recently raised over $15M in pre-seed funding from world-class investors and are building a technical founding team to take on some of the hardest and most exciting challenges in AI today. The company is still in stealth, but their focus is bold and clear: pushing the boundaries of foundational model architecture, efficient training at scale, and real-world deployment of intelligent agents. This is a rare opportunity to join early and shape the technical DNA of a company that is making major mark in the future of AI/AGI. Strong engineering skills in Python, C++, or Rust Proven experience with GPU performance engineering: Familiarity with ML frameworks like PyTorch, and their internals Experience optimising across the stack: from kernel-level compute to cluster-wide networking and memory IO Experience with multi-node training, collective communication algorithms, and throughput analysis Product intuition: performance isn’t abstract to you, it’s about real-world impact We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.