Nearby AI Internship Program - Engineering Track

NewsBreak is a content intelligence platform powered by advanced AI, recommendation systems, and adtech, with Nearby AI building a trust-first marketplace for local home services. This internship focuses on building a personalized provider-recommendation pipeline end to end, including LLM-based user understanding, provider retrieval and ranking, agent workflows, knowledge integration, evaluation, and product delivery.

What you'll do:

• User understanding and personalization: use LLMs to extract service requirements, preferences, and constraints from conversations, profiles, and context
• Provider retrieval and ranking: combine semantic search, recommendation algorithms, and provider features (capabilities, coverage, transaction-backed reputation, user fit) to improve relevance and coverage
• Agent workflows: build backstage pipelines connecting intent understanding, retrieval, provider comparison, and recommendation decisions, with explanations a user can check
• Multi-source data and knowledge integration: entity matching across business information, reviews, credentials, and service coverage
• Evaluation and delivery: build evaluation datasets, analyze failure cases and user feedback, improve quality, reliability, and latency; ship and iterate

What they're looking for:

• Pursuing a bachelor's degree or higher in Computer Science, AI, or a related field
• Proficient in Python or Java with solid data structures and algorithms
• Hands-on experience developing LLM applications or agents (RAG, agent workflows, evaluation harnesses)
• Understanding of search, recommendation, or ML fundamentals
• Strong problem-solving and communication; initiative to own results
• Embeddings, hybrid search, reranking, learning to rank, or personalized matching
• Elasticsearch, MongoDB, PostgreSQL, vector databases, or data pipelines
• Shipped products, open-source contributions, or independent projects showing individual impact
• Research and personal projects count; GitHub links and demos welcome

Benefits:

• Depending on the position, the role may also be eligible for discretionary bonus and options.