Sr. Machine Learning Engineer (Recommendation Systems)

Philo is a company focused on enhancing the television experience through technology and product innovation. They are seeking a Senior Machine Learning Engineer to lead the development of their recommendation systems, improving user engagement by creating advanced algorithms and collaborating with various teams to deliver personalized content solutions.

Responsibilities:

• Lead development of recommendation systems: Design, build, and optimize advanced algorithms for SVOD, Live TV, and FAST personalization
• Drive ML innovation at scale: Conduct deep dives into models and system components, ensuring performance, scalability, and robustness across regions and product areas
• Own the ML pipeline: Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment
• Collaborate with Product, Data Science & Engineering: Translate product requirements into ML solutions, set clear expectations, and deliver measurable improvements in user engagement
• Advance deep learning in recommendations: Apply frameworks such as TensorFlow, PyTorch, or similar to develop state-of-the-art recommendation models
• Experimentation: Conduct rigorous A/B testing and ML experiments to understand model performance and iterate rapidly based on feedback
• ML Vision and Roadmap: Contribute to the strategic planning of the recommendations roadmap, aligning engineering efforts with business objectives and user needs
• Explore advanced architectures: Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus

Requirements:

• 8+ years of experience in backend engineering and/or data science, including 4+ years focused on machine learning. Experience with recommendation systems is a big plus
• Strong coding skills in Python, as well as proficiency in using ML frameworks like PyTorch or TensorFlow
• Excellent analytical and problem-solving skills, with the ability to translate complex technical challenges into business solutions
• Proven track record of leading projects and delivering impactful machine learning solutions
• Strong communication and documentation skills; capable of explaining complex, technical concepts to non-technical stakeholders and to diligently document your work to help the team as a whole learn and move quickly
• Experience with Amazon SageMaker or similar MLOps platforms
• Experience with recommendation systems is a big plus
• Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus