ML Optimization Engineer - Gonka Network Mining Operations

ML Optimization Engineer - Gonka Network Mining Operations Employment type: Полный рабочий день Grade: Senior Salary: от 2000 до 4000 $ Skills: Python, Docker, Linux, vLLM, LLM, PyTorch, Машинное обучение, Blockchain Description: About Us: We are a leading participant in the Gonka decentralized AI network (​), leveraging high-performance GPU infrastructure to maximize mining rewards. We’re seeking an ML Optimization Engineer to help us achieve superior efficiency and weight in the Gonka ecosystem. Key Responsibilities: Implement advanced inference optimizations (speculative decoding, quantization, attention modifications, etc.) to maximize mining weight — techniques already proven to achieve double weight with identical GPUs by other participants Fine-tune Docker configurations for various GPU models based on available registry Develop custom optimization strategies that balance throughput and quality Create and maintain custom Docker images optimized for specific GPU architectures Design and implement systems for stable and scalable mining of Gonka and other protocols Develop optimized images for Tenstorrent AI ASICs to expand our hardware ecosystem beyond current GPU deployment Migrate Python code and VLLM implementations to new VLLM images and adapt them for specific GPU cards Required Qualifications: Proven experience with large language model optimization techniques Strong understanding of transformer architectures and attention mechanisms Proficiency with PyTorch, CUDA, and GPU optimization techniques Experience with vLLM, FlashInfer, or similar inference optimization frameworks Familiarity with Docker containerization and GPU workload management Preferred Qualifications: Experience with Claude Code Max (will be provided if needed) Previous experience with Gonka or similar decentralized AI networks Background in competitive ML or distributed systems optimization Experience with NVIDIA GPU architectures (B200/B300/H200/H100/A100) Knowledge of Tenstorrent AI ASICs or other specialized AI hardware What We Offer: Opportunity to work with cutting-edge AI infrastructure High performance-based bonuses tied to achieved weight improvements Potential for full-time position with percentage of mining profits Flexible remote work environment Access to high-end GPU hardware for experimentation Application Process: Intrested candidates should submit their resume along with a brief description of their relevant experience in ML optimization or performance enhancement ideas.