Machine Learning Engineer

📋 Description

• Develop and train ML models — including sequence, embedding, and classification models — on
• Build feature and data pipelines that turn raw event data into training-ready datasets, and keep
• Design offline and online evaluation for models and agentic workflows: success metrics, backtests
• Take models to production and own them — serving infrastructure, latency and cost tuning
• Fine-tune and adapt LLMs for internal use cases, and build the orchestration around them
• Build backend services and RESTful APIs in Python that expose models and agentic applications to

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field, or
• 2+ years of industry experience building and shipping ML systems.
• Strong Python and hands-on experience with PyTorch and the standard ML stack (NumPy, pandas
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar
• Solid grounding in ML fundamentals: model architecture choices, training dynamics, regularization
• Experience with large-scale data processing (Spark, Databricks, or similar) and feature engineering

🎁 Benefits

• Equity
• Benefits