Job Description
## Job 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 eval 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, 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. • * If this role isn’t the perfect fit, there are plenty of exciting opportunities in blockchain technology, cryptocurrency startups, and remote crypto jobs to explore. Check them on our Jobs Board. Apply tot his job