Senior Machine Learning Infrastructure Engineer

A Series-B AI scale-up who’ve just hit unicorn status is looking for a Senior/Staff Engineer to build scalable ML infrastructure to serve LLMs.

They are in an exciting period of growth, having just raised their series B and as an ML Engineer, you’d be responsible for the deployment and management of ML models at scale.

Machine Learning Infrastructure Engineer Responsibilities

• Design, implement, deploy, and manage ML algorithms
• Work closely with Researchers, Product, Platform and Software
• Work with real-time, multimodal data

Machine Learning Infrastructure Engineer Requirements

• Graduate degree in relevant STEM subject (ideally CompSci)
• 4+ years of experience deploying models into production as an ML Engineer
• Kubernetes, monitoring, auto-scaling, alerting experience
• Knowledge of distributed inference, KV cache techniques, and other inference optimizations
• Strong Python experience

You will work as part of a small, high-performing remote team with high levels of ownership, working end to end.

You’ll receive a bonus as well as RSUs, 401k, medical, dental, vision and unlimited PTO.

Please do not hesitate to apply if you want to build game-changing LLMs!