Machine Learning Engineer

Build and deploy ML models for memory retrieval and contextual understanding. Create scalable ML infrastructure that powers intelligent memory systems.

What You'll Do

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• Design and implement ML models for memory retrieval and ranking
• Build ML infrastructure and training pipelines
• Deploy and monitor models in production at scale
• Optimize model performance and latency for real-time systems
• Work with vector databases and embedding systems
• Implement MLOps best practices and monitoring
• Collaborate with research team to productionize new algorithms

What We're Looking For

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• 4+ years of ML engineering experience
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)
• Experience deploying ML models to production
• Knowledge of MLOps, model serving, and monitoring
• Understanding of NLP, embeddings, and retrieval systems
• Experience with cloud platforms (AWS, GCP) and containers
• Strong software engineering fundamentals
• Experience with large-scale data processing

Nice to Have

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• Experience with large language models and prompt engineering
• Knowledge of vector databases (Pinecone, Weaviate, Milvus)
• Experience with recommendation systems or search
• Background in information retrieval or ranking systems
• Knowledge of model optimization and quantization
• Experience with real-time ML systems
• Familiarity with transformer architectures