
LLM Algorithm Engineer
6 days ago
Join to apply for the LLM Algorithm Engineer role at CoinMarketCap .
- 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.
- 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.
- Not Applicable
- Full-time
- Engineering and Information Technology
- Industries: Information Services
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