Software Engineer, Machine Learning at Meta
Interview Preparation Plan
As a Software Engineer, Machine Learning (MLE) at Meta, you will be at the forefront of developing and deploying cutting-edge machine learning models and systems that power Meta's vast array of products, including Facebook, Instagram, and WhatsApp. This role involves a deep understanding of ML principles, strong software engineering skills, and the ability to work with large-scale datasets. You'll be responsible for the entire ML lifecycle, from ideation and experimentation to production deployment and monitoring, ensuring that these systems are scalable, efficient, and robust. Your work will directly impact millions of users by improving features such as content ranking, recommendations, ad targeting, and new AI-driven experiences. You will collaborate closely with product managers, researchers, and other engineers to translate complex business problems into effective ML solutions. This position requires a blend of theoretical knowledge in machine learning and practical experience in building production-ready software, with a strong emphasis on measurable results and continuous improvement.
Key Responsibilities
- Design, develop, and deploy machine learning models and algorithms.
- Build and maintain scalable ML infrastructure and pipelines.
- Collaborate with cross-functional teams to integrate ML solutions into products.
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