Key job responsibilities:
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to lead the development of new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with cutting-edge technologies such as Gen AI/LLMs to enhance content discovery and search capabilities. You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Information Retrieval. We expect you to thrive in ambiguous situations, demonstrating outstanding analytical abilities and comfort in collaborating with cross-functional teams and systems. The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.
BASIC QUALIFICATIONS:
– Experience building machine learning models or developing algorithms for business application.
– PhD, or a Master's degree and experience in CS, CE, ML or related field research.
– Experience in patents or publications at top-tier peer-reviewed conferences or journals.
– Experience programming in Java, C++, Python or related language.
– Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
PREFERRED QUALIFICATIONS:
– Experience using Unix/Linux.
– Experience in professional software development.