AI Inference Engineer (San Francisco)

We are looking for an AI Inference engineer to join our growing team. Our current stack is Python, Rust, C++, PyTorch, Triton, CUDA, Kubernetes. You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference.

Responsibilities

- Develop APIs for AI inference that will be used by both internal and external customers

- Benchmark and address bottlenecks throughout our inference stack

- Improve the reliability and observability of our systems and respond to system outages

- Explore novel research and implement LLM inference optimizations

Qualifications

- Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)

- Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.)

- Understanding of GPU architectures or experience with GPU kernel programming using CUDA