Bridge the gap between cutting-edge research and production systems. Build and implement research prototypes that push the boundaries of memory augmentation and contextual AI. WHAT YOU'LL DO - Translate research papers and ideas into working prototypes - Collaborate with research scientists to implement novel algorithms - Build experimental systems for memory retrieval and contextual understanding - Optimize research code for production deployment - Design and run experiments to validate research hypotheses - Contribute to research publications and technical documentation - Bridge communication between research and engineering teams WHAT WE'RE LOOKING FOR - 3+ years of experience in research engineering or applied ML - Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow) - Experience implementing research papers and prototyping novel ideas - Knowledge of machine learning fundamentals and deep learning - Ability to work independently and manage research projects - Strong problem-solving and analytical skills - Experience with experimentation frameworks and A/B testing - Good communication skills for cross-functional collaboration NICE TO HAVE - Published research in ML, NLP, or related fields - Experience with retrieval systems and vector databases - Knowledge of cognitive science or human memory research - Background in NLP or information retrieval - Experience with large language models and embeddings - Contributions to open-source ML projects - PhD or Masters in Computer Science, ML, or related field