Machine Learning Engineer, Memory
Core
Designing memory architectures and algorithms for foundation models to enable long-horizon behavior, experience representation, and efficient storage/retrieval across modalities.
Role type
Senior IC machine learning engineer (memory systems)
Builds
Production-ready, scalable learning models and algorithms for memory systems
Domain
AI/ML, Foundation Models, Game Engine Technology
Deliverable
production ML models
Required skills
Memory systems design, Foundation models (vision/language), Long-horizon behavior modeling, Reinforcement learning under partial observability, World models, Sequence modelling, Python, PyTorch, Model post-training, Open weights models
Preferred skills
Experience with language agents, Long-context methods
Technologies
Python, NumPy, SciPy, Scikit-learn, PyTorch
Responsibilities
Design new memory architectures, Define metrics for memory performance evaluation, Create and deliver production learning models, Assess model effectiveness and roadmap recommendations
Seniority
Senior, hands-on IC