TWG Global · 4 months ago
AI Engineering Intern
Santa Monica, California, United States
Internship
Onsite
InternTWG Global is a company focused on driving innovation and business transformation through data and AI. As an AI Engineering Intern, you will assist in developing and deploying machine learning models, collaborating with various teams to enhance product features and improve user experiences.
Construction
Responsibilities
Assist in developing and deploying machine learning (ML) models to improve applicant generation and ranking for multimodal feed recommendations (e.g., image, text), and participate in applied ML research to enhance model performance
Collaborate with research, engineering, and product teams to help integrate new ML innovations into feed products and services, contributing to improved user experiences
Support the implementation of advanced personalization features and exploration capabilities, helping to drive improvements in product metrics and user engagement
Contributes to the design and development of scalable frontend and backend solutions, following best practices in technical design, test automation, and code quality
Help optimize ML models and data pipelines to ensure robust and efficient operations for first-party products and services
Work with cross-functional teams—including program managers, data engineers, data scientists, and business analysts—to support the integration and execution of AI/ML solutions and assist in resolving system issues
Participate in cloud engineering projects to help enable scalable ML platforms for training and deploying cloud-based AI/ML solutions, focusing on performance and security
Support the integration and deployment of generative AI solutions using cloud-based models, contributing to innovation in new and existing products
Assist in delivering scalable ML solutions on Google Cloud, helping to identify and validate deployment configurations for optimal performance and resource use
Contribute to the design and maintenance of reference architectures and frameworks that support diverse AI/ML workloads
Support the development and deployment of personalized large language models (LLMs) to enhance search and recommendation systems and participate in research on emerging LLM techniques
Collaborate with cross-functional teams to help integrate LLMs into products and services, ensuring new technologies are effectively leveraged
Assist in executing roadmaps for search and personalization initiatives and help build partnerships with internal and external stakeholders to drive innovation in AI/ML projects
Qualification
Required
Assist in developing and deploying machine learning (ML) models to improve applicant generation and ranking for multimodal feed recommendations (e.g., image, text), and participate in applied ML research to enhance model performance
Collaborate with research, engineering, and product teams to help integrate new ML innovations into feed products and services, contributing to improved user experiences
Support the implementation of advanced personalization features and exploration capabilities, helping to drive improvements in product metrics and user engagement
Contributes to the design and development of scalable frontend and backend solutions, following best practices in technical design, test automation, and code quality
Help optimize ML models and data pipelines to ensure robust and efficient operations for first-party products and services
Work with cross-functional teams—including program managers, data engineers, data scientists, and business analysts—to support the integration and execution of AI/ML solutions and assist in resolving system issues
Participate in cloud engineering projects to help enable scalable ML platforms for training and deploying cloud-based AI/ML solutions, focusing on performance and security
Support the integration and deployment of generative AI solutions using cloud-based models, contributing to innovation in new and existing products
Assist in delivering scalable ML solutions on Google Cloud, helping to identify and validate deployment configurations for optimal performance and resource use
Contribute to the design and maintenance of reference architectures and frameworks that support diverse AI/ML workloads
Support the development and deployment of personalized large language models (LLMs) to enhance search and recommendation systems and participate in research on emerging LLM techniques
Collaborate with cross-functional teams to help integrate LLMs into products and services, ensuring new technologies are effectively leveraged
Assist in executing roadmaps for search and personalization initiatives and help build partnerships with internal and external stakeholders to drive innovation in AI/ML projects
Company
TWG Global
TWG Global is a unique holding company, strategically investing in and operating businesses across Investment Management, Securities, AI & Technology, Finance & Corporate Lending, Merchant Banking & Private Investments, and Sports, Media & Entertainment.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase