LLM Algorithm Engineer

LLM Algorithm Engineer — CoinMarketCap Responsibilities • Advanced post-training of large language models (e.g., SFT, RLHF/RLAIF, continual pretraining). • Aligning models for reliable JSON-schema function calls and external tool usage. • Design, deploy, and operate Model Context Protocol (MCP) servers that handle checkpoint routing, manage context windows, and enforce safety gates. • Experience in distributed training and inference with DeepSpeed/FSDP, LoRA/QLoRA, mixed precision, and performance tuning on vLLM or Triton clusters. • Build offline and live evaluation pipelines for alignment, factuality, grounding, and hallucinations. Qualifications • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 3+ years of experience in developing and optimizing large language models. • Proven track record in implementing advanced post-training techniques (SFT, RLHF, RLAIF, continual pretraining). • Hands-on experience with distributed training frameworks (DeepSpeed, FSDP) and optimization techniques (LoRA, QLoRA) and mixed precision. • Familiarity with model alignment, JSON-schema function calls, and external tool integration. • Experience in building and maintaining evaluation pipelines for model performance assessment. • Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow). • Strong understanding of distributed systems and high-performance computing. • Experience with model deployment and inference optimization on vLLM or Triton clusters. • Knowledge of JSON-schema and API development. Apply tot his job