ML Engineer - Inference & Model Deployment

We are looking for a founding ML engineer who can help us turn powerful AI and ML models into fast, reliable production systems. You will own the bridge between model development and real user-facing infrastructure: deploying models, optimizing inference latency and throughput, scaling serving systems, and making sure our models run efficiently in production.

This is a hands-on engineering role for someone who loves the details of model performance, GPU utilization, inference architecture, and production reliability.

• Deploy and integrate researcher-trained model checkpoints into our cloud infrastructure and production pipelines.