Research Engineer

ENGRAM Lab; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

ENGRAM Lab is seeking a research engineer to bridge advanced ML research and production systems in memory augmentation and contextual AI. You will translate research into prototypes, collaborate with scientists, and build experimental systems for real-world deployment.

You will prototype novel ideas, optimize code for scale, and help validate hypotheses through rigorous experiments and documentation. This role emphasizes independent project leadership and strong problem-solving throughout the

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.
• Knowledge of ML 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.

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.
• 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.

Skills

Python

ML fundamentals

Deep learning

Research prototyping

Independent work

Analytical skills

A/B testing

Cross-functional collaboration

Vector databases

Tools

PyTorch

TensorFlow

Experimentation frameworks

Embeddings

Vector databases

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