BlockchainUnmaskedRemote
Machine Learning Engineer, LLM and Blockchain
United States
Full Time
3 hours ago
H1B Sponsor
Key skills
Machine LearningLLM ExpertisePythonDeep LearningBlockchain TechnologyNLPData PreprocessingFeature EngineeringModel OptimizationCloud PlatformsBig Data ToolsAIMLLLMLlamaLangChainPyTorchTensorFlowHugging FaceSparkAWSAzureGCPSmart ContractsBlockchainCommunication
About this role
BlockchainUnmasked is working to make crypto crime solvable through advanced automation and cutting-edge solutions. They are seeking a skilled Machine Learning Engineer with expertise in LLMs to design and implement AI models for blockchain applications, directly impacting crypto crime investigations and fraud detection.
Responsibilities:
- Design and train custom LLMs tailored for blockchain data analysis, anomaly detection, and forensic investigations
- Fine-tune existing models (e.g., GPT-4, LLaMA, BERT) on blockchain-specific datasets to enhance their accuracy and relevance
- Extract, preprocess, and analyze on-chain and off-chain blockchain data to develop AI-powered insights
- Build and maintain efficient machine learning pipelines, ensuring real-time processing, scalability, and reliability
- Determine and implement the hardware requirements for running custom LLMs efficiently, including GPU/TPU optimization
- Work closely with blockchain engineers, security analysts, and forensic experts to integrate AI-driven intelligence into investigative workflows
- Continuously research advancements in LLMs, deep learning, blockchain AI applications, and security intelligence to improve our capabilities
Requirements:
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field (or equivalent experience). Minimum of 2+ years of work experience in a fast paced, results driven environment
- Proven experience in machine learning, deep learning, and NLP, with a strong portfolio of LLM-related projects
- Strong expertise in Python and ML libraries/frameworks: TensorFlow, PyTorch, Hugging Face Transformers or LangChain
- Experience with LLM training and fine-tuning (e.g., GPT, LLaMA, Falcon, BERT)
- Solid understanding of blockchain technology, smart contracts, and on-chain data analysis (a major plus)
- Knowledge of data preprocessing, feature engineering, and model optimization techniques
- Experience with cloud platforms (AWS, GCP, Azure), big data tools (Spark, Dask, Ray), and distributed computing
- Problem-solving mindset with the ability to tackle complex AI challenges in blockchain security
- Collaborative approach to working with multi-disciplinary teams
- Strong communication skills for technical presentations and reporting