CryptoCurrency ICO/Airdrop ยท 3 hours ago
LLM Algorithm Engineer
CryptoCurrency ICO/Airdrop is seeking an LLM Algorithm Engineer to advance the post-training of large language models and design servers for model context management. The role involves building evaluation pipelines and optimizing distributed training frameworks.
Financial Services
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
Qualification
Required
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
Company
CryptoCurrency ICO/Airdrop
What is cryptocurrency? Cryptocurrencies, a subset of digital currencies, are instruments used for different exchanges of value.
Funding
Current Stage
Late StageCompany data provided by crunchbase