We are seeking an innovative and experienced Applied Scientist to join our team. This role offers the opportunity to work on cutting-edge machine learning and deep learning projects that will redefine customer engagement. Responsibilities • Develop and implement advanced personalization algorithms to enhance user experiences across various platforms. • Design predictive lead scoring models to optimize customer acquisition and retention strategies. • Architect end-to-end machine learning pipelines for large-scale deep learning models. • Conduct rigorous testing and analysis to measure model impact and iterate on solutions. • Collaborate with cross-functional teams to translate research into scalable, production-grade systems. • Stay updated on industry trends and contribute to research publications and patents. Skills • PhD or Master's degree in Computer Science, Statistics, or a related field. • 6+ years of applied research experience, or 4+ years with a PhD. • Hands-on experience in building, deploying, and monitoring production-grade machine learning models. • Strong proficiency in Python and PyTorch. • Comprehensive understanding of deep learning concepts and techniques. • Excellent analytical and problem-solving skills. Preferred Skills • Experience deploying deep learning models to solve real-world business challenges. • Familiarity with MLOps practices, including CI/CD pipelines and model monitoring. • Knowledge of emerging techniques in machine learning, such as federated learning and automated feature engineering. • Experience in personalization and lead scoring analytics. We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued and empowered to contribute their unique perspectives. Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.