Research Engineer
Core
Translate research papers and ideas into working prototypes for memory augmentation and contextual AI systems.
Role type
Research Engineer (Applied ML)
Builds
Experimental systems for memory retrieval and contextual understanding
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Machine Learning fundamentals, Deep Learning, Experimentation frameworks, A/B testing
Preferred skills
Published research in ML/NLP, Retrieval systems, Vector databases, Cognitive science, Large language models, Open-source contributions
Technologies
PyTorch, TensorFlow
Responsibilities
Translate research papers into working prototypes, Collaborate with research scientists to implement novel algorithms, Build experimental systems for memory retrieval, Optimize research code for production deployment, Design and run experiments to validate hypotheses, Contribute to research publications and technical documentation
