At Persist Ventures, we are dedicated to transforming the future of content discovery through cutting-edge technology. Our mission is to develop an intelligent recommendation engine that delivers personalized video feeds tailored to individual user behavior, contextual factors, and emerging trends. Powered by advanced machine learning techniques and comprehensive user analytics, our platform aims to enhance user engagement and satisfaction by providing highly relevant and dynamic content experiences.
We are seeking a talented and motivated professional to join our team, someone who is passionate about leveraging data and machine learning to solve complex problems in content personalization. As a key contributor, you will play a vital role in designing, developing, and optimizing recommendation algorithms that drive our platform’s core functionality.
**Key Responsibilities:**
– Design, develop, and implement sophisticated recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid approaches.
– Analyze extensive user behavior and interaction datasets to understand patterns, preferences, and trends that can inform and refine predictive models.
– Construct scalable and efficient data pipelines that enable real-time or near-real-time delivery of personalized video feeds to millions of users.
– Systematically test, evaluate, and iterate on recommendation models to continuously improve their accuracy, relevance, and performance in dynamic environments.
– Collaborate cross-functionally with product managers, data scientists, and software engineers to align algorithmic goals with business objectives and user experience requirements.
**Candidate Profile and Requirements:**
– Demonstrated expertise in Python programming, with the ability to write clean, maintainable, and efficient code.
– Strong foundational knowledge of recommender systems, including various ranking models and embedding techniques used to capture user and content features.
– Hands-on experience with essential machine learning libraries and frameworks such as pandas, scikit-learn, PyTorch, or TensorFlow.
– Comprehensive understanding of user profiling methodologies, content tagging strategies, and the role of feedback loops in iterative model improvement.
– A data-driven mindset with the ability to translate complex analytical insights into practical algorithmic enhancements.
– Excellent problem-solving skills, with the capacity to thrive in an innovative, fast-paced environment.
At Persist Ventures, you will have the opportunity to work at the forefront of machine learning-driven personalization, contributing to a platform that shapes how millions of users discover and engage with video content. If you are passionate about pushing the boundaries of recommendation technology and eager to make a tangible impact on the future of digital content delivery, we invite you to join our dynamic and visionary team.