Prime Intellect

3+ yrs ML/LLM services. Hands-on vLLM/SGLang/TensorRT-LLM. Dist Distributed serving and debugging

Strong ML engineering background in RL or large-scale model alignment. Expertise in distributed training frameworks like vLLM and Kubernetes. Research contributions and deployment experience

Strong portfolio blending graphic design, UI/UX, and motion, proficiency in design tools, and experience designing for complex interfaces

3+ years GPU cluster experience, expertise with SLURM/Kubernetes, and familiarity with NVIDIA/CUDA. Strong Linux kernel tuning skills and systems programming proficiency needed

Strong AI/ML background, experience in distributed training and large-scale model training, and passion for advancing decentralized AI model training

Complex technical system building experience, open-source project contribution, and multiple domain mastery

5+ years of experience in AI/ML engineering, deep expertise in distributed inference techniques, and solid understanding of MLOps best practices

PhD students, software engineers, or self-taught individuals with experience in machine learning, distributed systems, or protocols

Strong Python development, Rust, infrastructure automation, and container orchestration experience

Contributed to open-source, built real systems, and gone deep across technical domains