Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kubernetes @ 3 Python @ 3 Machine Learning @ 3 TensorFlow @ 3 API @ 3 LLM @ 3 PyTorch @ 3 CUDA @ 3Details
We are looking for an AI Inference to join our growing team. Our current stack is Python, C++, TensorRT-LLM, 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.
Requirements
- 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.).
- Experience with deploying reliable, distributed, real-time model serving at scale.
- (Optional) Understanding of GPU architectures or experience with GPU kernel programming using CUDA.
Benefits
- Comprehensive health, dental, and vision insurance for you and your dependents.
- Includes a 401(k) plan.
- Equity is part of the total compensation package.