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
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Translate research papers and ideas into working prototypes
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Collaborate with research scientists to implement novel algorithms
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Build experimental systems for memory retrieval and contextual understanding
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Optimize research code for production deployment
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Design and run experiments to validate research hypotheses
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Contribute to research publications and technical documentation
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Bridge communication between research and engineering teams
What We're Looking For
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3+ years of experience in research engineering or applied ML
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Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow)
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Experience implementing research papers and prototyping novel ideas
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Knowledge of machine learning fundamentals and deep learning
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Ability to work independently and manage research projects
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Strong problem-solving and analytical skills
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Experience with experimentation frameworks and A/B testing
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Good communication skills for cross-functional collaboration
Nice to Have
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Published research in ML, NLP, or related fields
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Experience with retrieval systems and vector databases
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Knowledge of cognitive science or human memory research
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Background in NLP or information retrieval
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Experience with large language models and embeddings
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Contributions to open-source ML projects
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PhD or Masters in Computer Science, ML, or related field
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