LLM Algorithm Engineer

CoinMarketCap is seeking an LLM Algorithm Engineer to advance large language model post-training and deployment. The role focuses on designing and optimizing models for reliable function calls, tool integration, and high-performance inference at scale.

• Conduct advanced post-training of large language models including SFT, RLHF/RLAIF, and continual pretraining
• Align models for reliable JSON-schema function calls and external tool usage
• Design, deploy, and operate Model Context Protocol (MCP) servers handling checkpoint routing, context window management, and safety gates
• Implement 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 hallucination detection

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
• 3+ years of experience developing and optimizing large language models
• Proven expertise in 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 building and maintaining evaluation pipelines for model performance assessment
• Proficiency in Python and machine learning frameworks (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