Responsibilities

• Design, develop, and deploy machine learning models that power agents analyzing blockchain, wallet, and social sentiment data.
• Implement models for time series, classification, and behavioral pattern detection.
• Integrate models into real-time agent pipelines with a focus on low-latency execution.
• Collaborate with prompt engineers and blockchain analysts to fine-tune output logic.
• Evaluate and iterate models in production using performance KPIs.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field
• 2+ years of experience in ML engineering or data science (internship experience counts)
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Hands-on experience with on-chain or behavioral time-series data
• Familiarity with LLMs or retrieval-augmented generation pipelines a big plus
• Bonus: experience with Solana or EVM data formats (wallets, token flows, events)
• Strong analytical and problem-solving mindset

Apply