Machine Learning Engineer Intern (Privacy and Data Protection Office) - 2026 Start (PhD)
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La posizione
The Machine Learning Engineer Intern will design end-to-end ML models by leveraging NLP techniques to address real-world signals from privacy products, incidents, and review areas.
Analyze extensive datasets to extract meaningful insights, identify improvement opportunities, and enable data-driven decision-making.
Design and run experiments to test and iterate on ML models to optimize privacy-related recommendations and system performance.
Build and deploy analytics tools and platforms to measure privacy evolution, diagnose issues, and tell compelling data stories.
Collaborate with cross-functional teams including engineering, legal, audit, security, public policy, and products to implement safeguards and develop privacy domain expertise.
Communicate final recommendations to drive decisions and contribute to the organization’s privacy roadmap through research and practical impact.
Analyze extensive datasets to extract meaningful insights, identify improvement opportunities, and enable data-driven decision-making.
Design and run experiments to test and iterate on ML models to optimize privacy-related recommendations and system performance.
Build and deploy analytics tools and platforms to measure privacy evolution, diagnose issues, and tell compelling data stories.
Collaborate with cross-functional teams including engineering, legal, audit, security, public policy, and products to implement safeguards and develop privacy domain expertise.
Communicate final recommendations to drive decisions and contribute to the organization’s privacy roadmap through research and practical impact.
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