Engramme
Machine Learning Engineer
San Francisco · On-site · Full-time · Posted Oct 14, 2026
- Experience
- 4+ years of ML engineering experience.
About the job
Build and deploy machine learning models and infrastructure for memory retrieval, ranking, and contextual understanding.
What you'll do
- Design ML models for memory retrieval and ranking, and build training pipelines and infrastructure.
- Deploy, monitor, and optimize production models for scale, performance, and real-time latency.
- Apply MLOps practices and work with research teams to productionize new algorithms.
What they ask for
- 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), containers, and large-scale data processing.
Nice to have
- Experience with large language models and prompt engineering.
- Knowledge of vector databases (Pinecone, Weaviate, Milvus).
Tools
Python, PyTorch, TensorFlow, AWS, GCP, Pinecone, Weaviate, Milvus
AI focus
Develop memory retrieval, ranking, and contextual understanding systems; productionize ML algorithms.
Model-written summary · the original posting is authoritative