Machine Learning Engineer (Master's University Grad, USA, 2027)

Join Pinterest as a Machine Learning Engineer and tackle new challenges in machine learning and artificial intelligence. Contribute to cutting-edge research, analyze data, and build intelligent models. Work on state-of-the-art large-scale applied machine learning projects and have a high degree of autonomy in learning new tools.

- Contribuer à la recherche de pointe en apprentissage automatique et en intelligence artificielle, et appliquer ces connaissances aux problèmes de Pinterest. - Collecter, analyser et synthétiser les résultats des données, et construire des modèles intelligents basés sur les données. - Utiliser l'apprentissage automatique, le traitement du langage naturel et l'analyse de graphes pour résoudre des problèmes de modélisation et de classement.

- Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required - Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) - Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data - Experience in research and in solving analytical problems - Proficiency with AI-native engineering, including the design of agent-friendly codebases - High degree of autonomy in learning new agent-first development tools - Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability - Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) - Strong communicator and team player. Being able to find solutions for open-ended problems - Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints