Machine Learning Engineer

Join Snap Inc. as a Machine Learning Engineer and be part of a team that builds and deploys machine learning models that power core products, serving millions of Snapchatters. You will own the full ML lifecycle from data analysis to production deployment, partner with cross-functional teams to prototype and launch ML-driven features, and utilize AI tools to design and ship scalable services. Enjoy a comprehensive benefits package, including generous time off, medical coverage, and a 401(k) plan.

• Construire et déployer des modèles d'apprentissage automatique qui alimentent les produits principaux de l'entreprise, en servant des millions d'utilisateurs.
• Posséder l'ensemble du cycle de vie de l'apprentissage automatique, de l'analyse des données au déploiement en production.
• Collaborer avec des équipes interfonctionnelles pour prototyper et lancer des fonctionnalités pilotées par l'apprentissage automatique.
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
• Strong collaboration and mentorship skills
• Able to prioritize duties and work well on your own
• Strong understanding of machine learning approaches and algorithms
• Ability to work with both internal and external partners
• Skilled at solving open ambiguous problems
• Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks
• 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
• Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
• Advanced degree in computer science or related field
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Experience working with machine learning, ranking infrastructures, and system design