LLM Algorithm Engineer
CoinMarketCap
Date: 1 week ago
Contract type: Full time
Remote
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
- 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
- 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
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