Machine Learning Engineer, Level 5
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The role
Own the end-to-end ML lifecycle, from data analysis to production deployment of models that power core features.
Design, implement, and optimize machine learning solutions for ranking, recommendations, search, and content understanding.
Scale models to serve millions of users with a focus on privacy, reliability, and performance.
Collaborate with cross-functional teams to prototype and launch ML-driven features at scale.
Apply modern ML techniques and select appropriate frameworks (TensorFlow, PyTorch, scikit-learn, Spark ML, Caffe2).
Mentor peers, solve open-ended problems, and clearly communicate trade-offs to internal and external partners.
Design, implement, and optimize machine learning solutions for ranking, recommendations, search, and content understanding.
Scale models to serve millions of users with a focus on privacy, reliability, and performance.
Collaborate with cross-functional teams to prototype and launch ML-driven features at scale.
Apply modern ML techniques and select appropriate frameworks (TensorFlow, PyTorch, scikit-learn, Spark ML, Caffe2).
Mentor peers, solve open-ended problems, and clearly communicate trade-offs to internal and external partners.
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