Sr. Machine Learning Engineer (Recommendation Systems) at Philo

The Senior Machine Learning Engineer will lead the development of recommendation systems by designing, building, and optimizing advanced algorithms for SVOD, Live TV, and FAST personalization. They will drive ML innovation at scale by conducting deep dives into models and system components to ensure performance, scalability, and robustness. Responsibilities include owning the ML pipeline through building and maintaining reliable pipelines for data extraction, feature engineering, model training, testing, and deployment. The role involves collaborating with Product, Data Science, and Engineering teams to translate product requirements into ML solutions and deliver measurable improvements in user engagement. Additionally, the engineer will advance deep learning in recommendations by applying frameworks like TensorFlow or PyTorch, conduct rigorous A/B testing and ML experiments, and contribute to the strategic planning of the recommendations roadmap.