Experienced AI Engineer for Disney Localization in California – Personalization and Recommendation Systems Development

Introduction to Workwarp and the Role Workwarp is a pioneering company in the field of AI and machine learning, dedicated to delivering innovative solutions for personalized content recommendation and localization. We are seeking an experienced AI Engineer to join our team in California, where you will play a crucial role in developing and improving our personalization and recommendation systems for Disney Localization. As a key member of our team, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the growth and success of our organization. Job Overview In this exciting role, you will be responsible for leading proposal and personalization calculation exploration, improvement, and streamlining for item regions. You will work closely with Item, Designing, and Article groups to arrange prerequisites and oversee partner assumptions. Your primary objectives will include meeting KPIs for item regions, setting and fulfilling time constraints for outer and inside confronting apparatuses, and driving larger organization targets in the space of personalization and content proposal. Key Responsibilities Calculation improvement and support: Utilize state-of-the-art AI strategies to foster calculations for personalization, suggestion, and other prescient frameworks; maintain calculations deployed to production and serve as the go-to person in clarifying philosophies for technical and non-technical groups. Analysis and Calculation Optimization: Perform in-depth analysis on application interactions and client profiles as they interact with calculation output to drive enhancements in key personalization metrics. MVP development: Develop innovative AI products to be used for new production features or downstream by production calculations. Best Practices: Maintain existing and establish new calculation development, testing, and deployment guidelines. Collaboration: Work with item and business partners to identify and define new personalization opportunities and improve how we do data collection, experimentation, and analysis. Requirements and Qualifications To be successful in this role, you will need to possess the following essential qualifications: Years of scientific experience and a Bachelor's degree in advanced Math, Statistics, Data Science, or a similar field of study. Experience developing AI models and performing data analysis with Python or R. Ability to write production-level, flexible code (e.g., Python, Scala). Experience developing calculations for deployment to production systems. In-depth understanding of current AI (e.g., deep learning techniques), models, and their mathematical underpinnings. In-depth understanding of the latest in natural language processing techniques and contextualized word embedding models. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and designing large data solutions using technologies like Databricks, S3, and Spark. Experience with data analysis and data visualization tools like Tableau, Looker, etc. Understanding of statistical concepts (e.g., hypothesis testing, regression analysis). Ability to gauge the complexity of AI issues and an willingness to implement straightforward strategies for fast, effective solutions as fitting. Strong written and verbal communication skills. Ability to explain how models are used and algorithms behave to both technical and non-technical audiences. Preferred Qualifications In addition to the essential qualifications, the following preferred qualifications will be considered an asset: MS or PhD in Statistics, Math, Computer Science, Sociology, or a related quantitative field. Production experience with developing content recommendation algorithms at scale. Production experience with graph-based models (e.g., node2vec). Experience building and deploying full-stack ML pipelines: data extraction, data mining, model training, feature improvement, testing, and deployment. Experience with graph-based data workflows like Apache Airflow. Experience designing large data solutions using technologies like EMR, S3, Spark, Databricks. Familiarity with metadata management, data lineage, and principles of data governance. Experience loading and querying cloud-hosted databases like Snowflake. Experience with automated deployment, AWS infrastructure, Docker, or similar containers. Career Growth and Development At Workwarp, we are committed to providing our employees with opportunities for growth and development. As an AI Engineer, you will have access to: Training and development programs to enhance your skills and knowledge in AI and machine learning. Mentorship from experienced professionals in the field. Opportunities to work on diverse projects and collaborate with cross-functional teams. A dynamic and supportive work environment that encourages innovation and creativity. Work Environment and Company Culture Our company culture is built on the values of innovation, collaboration, and excellence. We believe in fostering a work environment that is: Dynamic and supportive, with a focus on teamwork and open communication. Inclusive and diverse, with opportunities for growth and development. Flexible and adaptable, with a focus on work-life balance. Compensation and Benefits We offer a competitive compensation package that includes: A base salary that reflects your experience and qualifications. A bonus, as well as long-term incentive units, may be provided as part of the compensation package. A comprehensive benefits package, including medical, financial, and other benefits. Conclusion If you are a motivated and experienced AI Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a member of our team, you will have the chance to work on cutting-edge projects, collaborate with talented professionals, and contribute to the growth and success of our organization. Don't miss out on this opportunity to make a significant impact and take your career to the next level. Submit Your Application Seize this opportunity to make a significant impact. Apply now and take the first step towards a rewarding new role. Apply To This Job Apply for this job