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GenPark

GenPark

genpark.ai

1 Job

8 Employees

About the Company

At GenPark AI, we're on a mission to introduce emerging Oriental direct-to-consumer brands to Gen Z consumers worldwide. By harnessing the power of AI-driven personalized marketing, we craft shopping experiences that are not only tailored to individual tastes but also infused with fun and excitement. Our channel is designed to be a playground where discovery meets delight, bridging cultural gaps and connecting unique brands with the trendsetters of tomorrow. Whether you're a curious shopper or an innovative brand, GenPark AI is your gateway to a vibrant and engaging retail adventure. buymeacoffee.com/krispang10p

Listed Jobs

Company background Company brand
Company Name
GenPark
Job Title
Artificial intelligence intern
Job Description
Job Title: Artificial Intelligence Intern Role Summary: Internship focused on developing and deploying machine learning models, processing and analyzing data, and supporting AI research initiatives. Collaborates across teams to create solutions that personalize experiences through intelligent agents. Expectations: - Work as part of a hybrid program. - Deliver high‑quality code and data pipelines under guidance. - Translate business challenges into technical prototypes. - Communicate findings and progress clearly to non‑technical stakeholders. Key Responsibilities: - Design, train, and validate ML models (e.g., classification, clustering, recommendation). - Preprocess, clean, and transform datasets; create visualizations to support data exploration. - Conduct experiments and interpret results to inform product features. - Contribute to research projects on agent‑based systems and personalized content delivery. - Collaborate with product, design, and engineering teams to integrate AI solutions. - Document workflows, models, and insights for internal knowledge base. Required Skills: - Proficiency in Python; experience with R or Java is a plus. - Hands‑on with ML frameworks (TensorFlow, PyTorch, scikit‑learn, etc.). - Strong data‑science foundation: preprocessing, feature engineering, visualization, and statistical analysis. - Problem‑solving mindset; ability to abstract real‑world problems into algorithms. - Effective written and verbal communication; teamwork orientation. - Knowledge of agent‑based or personalized content technologies is desirable. Required Education & Certifications: - Currently pursuing or recently completed a bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - No formal certifications required, but coursework or projects in machine learning, data analytics, or AI is preferred.
Seattle, United states
Hybrid
Fresher
13-03-2026