AI Inference Engineer

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gill, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, Nvidia, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people.

Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. 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.

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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.