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