AI Research Engineer

Job Summary

Bridging cutting-edge applied research and production engineering, the full-time AI Research Engineer (Applied AI) will design and implement advanced machine learning systems remotely, addressing high-impact business challenges through innovative AI solutions.

Key Responsibilities

• Design, prototype, and evaluate applied AI solutions across various domains including natural language and structured data
• Translate ambiguous business problems into well-defined ML formulations with clear success metrics
• Build production-quality training and inference pipelines using modern ML frameworks and optimize models for performance based on production requirements

Required Qualifications

• Master's or PhD in Computer Science, Machine Learning, Statistics, or a related field; or equivalent applied experience
• Six or more years of combined research and applied ML engineering experience
• Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX
• Hands-on experience training and evaluating deep learning models at scale
• Experience taking ML models from research prototype to production with appropriate observability and safeguards