GoodlightAI
1 - 10 employees
Founded 2025
🛒 Retail
☁️ SaaS
🤖 Artificial Intelligence
Retail • SaaS • Artificial Intelligence
GoodlightAI is an AI-driven personalization platform for multi-store food retail chains that uses POS and loyalty data to predict shopper behavior and send highly targeted, timely offers to increase repeat visits and spending. The company provides a fast-to-deploy SaaS solution that creates customer segments and personas, forecasts next purchase items and dates, integrates with POS/ERP/data warehouses, and automates personalized outreach (emails) to boost loyalty program effectiveness and margin. GoodlightAI focuses on B2B retail customers and emphasizes measurable ROI and quick implementation.
Intern – Machine Learning
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GoodlightAI
1 - 10 employees
Founded 2025
🛒 Retail
☁️ SaaS
🤖 Artificial Intelligence
Retail • SaaS • Artificial Intelligence
GoodlightAI is an AI-driven personalization platform for multi-store food retail chains that uses POS and loyalty data to predict shopper behavior and send highly targeted, timely offers to increase repeat visits and spending. The company provides a fast-to-deploy SaaS solution that creates customer segments and personas, forecasts next purchase items and dates, integrates with POS/ERP/data warehouses, and automates personalized outreach (emails) to boost loyalty program effectiveness and margin. GoodlightAI focuses on B2B retail customers and emphasizes measurable ROI and quick implementation.
📋 Description
• Build and experiment with ML models and LLM-powered systems (classification, embeddings, retrieval, agents). • Work on real-world use cases such as retail personalization, workflow automation, and customer intelligence. • Design and improve prompt pipelines, evaluation frameworks, and agent behaviors. • Collaborate on data pipelines: ingestion, cleaning, feature engineering, and analysis. • Prototype and ship features quickly in a production environment. • Contribute to internal tooling for model monitoring, evaluation, and iteration.
🎯 Requirements
• Strong fundamentals in machine learning and statistics. • Hands-on experience with Python and ML libraries (e.g., PyTorch, scikit-learn). • Familiarity with LLMs, embeddings, vector databases, or agent frameworks is a strong plus. • Comfort working with APIs and integrating ML into applications. • Ability to move fast, experiment, and learn independently. • Clear thinking and ability to translate messy problems into structured solutions. • Bonus points • Experience building AI agents or working with tools like LangChain, OpenAI APIs, etc. • Exposure to retail, ecommerce, or customer data problems. • Experience with data engineering (SQL, pipelines, ETL). • Side projects or demos showcasing applied ML work.
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