AI System Research and Development Engineer - Optimization - Snowflake

Key Responsibilities

• Design, prototype, and evaluate AI models that optimize data processing and query performance for large-scale cloud services.
• Implement end-to-end experiments using Python, PyTorch, and cloud tooling to validate new algorithms and measure impact.
• Collaborate with cross‑functional teams to integrate optimized models into production pipelines and monitor real‑world performance.
• Document research findings, publish internal technical reports, and present results to senior stakeholders.
• Iterate rapidly on emerging AI techniques, maintaining a culture of experimentation and continuous improvement.

Requirements

• Strong background in machine learning, optimization, and statistical modeling.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience deploying models at scale on cloud platforms (e.g., AWS, Snowflake).
• Excellent problem‑solving skills and a passion for turning research into production‑ready solutions.
• Effective communicator with the ability to translate complex concepts to technical and non‑technical audiences.