Senior ML engineer, Search

This role is for a Senior Machine Learning Engineer specializing in Search technologies, requiring extensive experience in designing, developing, and optimizing machine learning models tailored to search systems. The ideal candidate should have a strong background in machine learning algorithms, natural language processing, information retrieval, and ranking techniques. Proficiency in programming languages such as Python, and familiarity with ML frameworks like TensorFlow or PyTorch, is essential. Experience with large-scale data processing tools and platforms, including distributed computing environments, is highly valuable. The role demands expertise in feature engineering, model evaluation, and deployment in production environments, ensuring scalability and efficiency of search-related ML solutions. Strong analytical skills, problem-solving abilities, and the capability to work cross-functionally with data scientists, engineers, and product teams are critical. Given the seniority level, leadership experience in guiding ML projects, mentoring junior engineers, and contributing to strategic decisions around search technology development is expected. Although specific education details are not provided, typically a senior ML engineer role requires a solid foundation in computer science, engineering, or related fields, often supported by advanced degrees or equivalent practical experience. Overall, the position demands a deep understanding of machine learning principles applied to search, hands-on experience with relevant tools and technologies, and the ability to drive complex projects from conception to deployment.