Research Engineer

Engramme; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Engramme in San Francisco is seeking a Research Engineer to bridge cutting-edge ML research and production systems. You will translate research papers into working prototypes and collaborate with scientists to implement novel algorithms.

You will build experimental systems for memory augmentation and contextual AI, optimize research code for deployment, and contribute to publications and technical docs. Independent project management is valued.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

ML

Problem solving

Communication

Education

PhD or Master’s in CS/ML

Tools

PyTorch

TensorFlow

Vector databases

NLP tooling

Job description

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