Machine Learning Engineer (Level 4)

Join Snap Inc. as a Machine Learning Engineer (Level 4) and play a key role in building and deploying machine learning models that power core products, serving millions of Snapchatters. You will own the full ML lifecycle, partner with cross-functional teams, and utilize AI tools and high-velocity engineering workflows. Enjoy a comprehensive benefits package, including generous parental leave, medical coverage, and retirement plans.

• Construire et déployer des modèles d'apprentissage automatique qui alimentent les produits principaux, servant des millions d'utilisateurs.
• Appliquer des techniques modernes d'apprentissage automatique pour résoudre des problèmes réels à grande échelle.
• Posséder l'ensemble du cycle de vie de l'apprentissage automatique, de l'analyse des données au déploiement en production.

• Strong collaboration and mentorship skills
• Able to prioritize duties and work well on your own
• Ability to work with both internal and external partners
• Strong understanding of machine learning approaches and algorithms
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
• 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
• Skilled at solving open ambiguous problems
• 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
• 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Advanced degree in computer science or related field
• Experience working with machine learning, ranking infrastructures, and system design