Machine Learning Engineer (Level 4)
- Palo Alto, United States
- Mid Level
- 3+ years
- Bachelor's degree
- Posted
Skills
Required
- machine learning
- AI
- ML
- machine learning approaches and algorithms
- streamline development
- performance bottlenecks
- TensorFlow
- PyTorch
- Spark
- scikit-learn
Preferred
- search
- image generation
- ranking infrastructures
- system design
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.
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.
About Snap Inc.
Construire et déployer des modèles d'apprentissage automatique qui alimentent les produits principaux, servant des millions d'utilisateurs.
Responsibilities
- Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices
Requirements
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
- 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
- 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
Preferred
- Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
- Experience working with machine learning, ranking infrastructures, and system design
Pay
USD 173,000 - 259,000
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