Machine Learning Engineer
San Francisco · hace 3 semanas
Diseñar, construir e implementar modelos de ML para la recuperación y clasificación de memoria, y desarrollar la infraestructura escalable de ML, los pipelines de entrenamiento y la monitorización que los soportan en producción.
- Modalidad
- Presencial
- Nivel
- Intermedio
- Experiencia
- 4+ años
- Equipo
- Engineering
Skills
Sobre el puesto
Build and deploy ML models for memory retrieval and contextual understanding. Create scalable ML infrastructure that powers intelligent memory systems. What You'll Do • 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 • 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 • 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
Publicada el 13 oct 2026