Goodlight AI
Posted 118 days agoVerified live 18h ago
Intern - Machine Learning
Brief overview
United StatesIn-person
$20k–$30k/moStated range
Machine learning fundamentalsStatisticsPython programmingPyTorchscikit-learnLLMsEmbeddingsVector databasesAgent frameworksAPI integrationProblem-solvingPrompt engineeringEvaluation frameworksData pipeline developmentFeature engineeringModel monitoringLangChain
About the company
Goodlight AIgoodlightai.com
Reclaim your best shoppers. Outperform the big-box stores.
Job description
Summary
Goodlight AI is building intelligent agents that automate complex workflows across retail, data, and enterprise systems. They are seeking a Machine Learning Intern who is excited about applied AI and will work on real-world use cases and contribute to the development of production-grade systems.
Responsibilities
- 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
Skills
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
