AI Research Engineer

Job Summary

Bridging cutting-edge applied research and production engineering, the full-time remote AI Research Engineer will design and implement advanced machine learning systems to solve high-impact business problems, while staying current with the latest AI research and methodologies.

Key Responsibilities

• Design, prototype, and evaluate applied AI solutions across various domains
• Translate ambiguous business problems into well-scoped ML formulations with clear success metrics
• Build production-quality training and inference pipelines using modern ML frameworks

Required Qualifications

• Master's or PhD in Computer Science, Machine Learning, Statistics, or a closely 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, fine-tuning, and evaluating deep learning models at non-trivial scale
• Experience taking ML models from research prototype to production with appropriate observability and safeguards