Research Engineer 5 – AI for Member Systems
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The role
Collaborate with researchers, engineers, data scientists, and product managers to develop ML algorithms that improve personalization, recommendations, and member experiences.
Create scalable, production-ready ML solutions, taking algorithms from concept to deployment in large-scale, real-time systems.
Optimize model performance and scalability to handle diverse global tastes and behaviors.
Design and conduct offline experiments and A/B tests to validate the impact of algorithmic changes on key business metrics.
Contribute to the ongoing improvement of ML infrastructure and tooling, ensuring we stay at the cutting edge of industry practices.
Engage in continuous learning and development, staying up-to-date with the latest advances in ML and software engineering.
Create scalable, production-ready ML solutions, taking algorithms from concept to deployment in large-scale, real-time systems.
Optimize model performance and scalability to handle diverse global tastes and behaviors.
Design and conduct offline experiments and A/B tests to validate the impact of algorithmic changes on key business metrics.
Contribute to the ongoing improvement of ML infrastructure and tooling, ensuring we stay at the cutting edge of industry practices.
Engage in continuous learning and development, staying up-to-date with the latest advances in ML and software engineering.
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