VP, Machine Learning Engineering | New York, United States | Rokt

Position:	VP, Machine Learning Engineering
Institution:	Rokt
Location:	New York, United States
Duties:	Shape, grow, and lead exceptional teams that deliver novel, strategic ML solutions for Rokts product offerings; Leverage your ML industry expertise to introduce new technologies and processes and drive innovation within Rokt’s product offerings; Lead the development and deployment of machine learning models for content. understanding, embeddings, recommender systems, and ranking; Develop and maintain a deep understanding of user behavior, preferences, and engagement patterns through the use of ML; Collaborate with cross-functional teams including product, engineering, design, and data science to identify and prioritize opportunities for machine learning; Provide technical leadership and mentorship to the machine learning team; Partner with business stakeholders to understand their needs and develop solutions that drive business outcomes
Requirements:	You have a deep technical background in applied machine learning, including deep learning, computer vision, natural language processing, and data engineering; An eye for product and relentlessly putting the customer at the heart of your strategic decisions; Previous experience in building and leading ML teams in creating end-to-end machine learning pipelines, including algorithms and tooling; Nice-to-have: A published researcher with a strong track record of academic experience in ML and AI

Text:	VP, Machine Learning Engineering Shape, grow, and lead exceptional teams that deliver novel, strategic ML solutions for Rokts product offerings; Leverage your ML industry expertise to introduce new technologies and processes and drive innovation within Rokt’s product offerings; Lead the development and deployment of machine learning models for content. understanding, embeddings, recommender systems, and ranking; Develop and maintain a deep understanding of user behavior, preferences, and engagement patterns through the use of ML; Collaborate with cross-functional teams including product, engineering, design, and data science to identify and prioritize opportunities for machine learning; Provide technical leadership and mentorship to the machine learning team; Partner with business stakeholders to understand their needs and develop solutions that drive business outcomes You have a deep technical background in applied machine learning, including deep learning, computer vision, natural language processing, and data engineering; An eye for product and relentlessly putting the customer at the heart of your strategic decisions; Previous experience in building and leading ML teams in creating end-to-end machine learning pipelines, including algorithms and tooling; Nice-to-have: A published researcher with a strong track record of academic experience in ML and AI