AI Engineering Intern: Personalization & Recommender Systems

NewsBreak

Mountain View (CA)

On-site

USD 42,000 - 54,000

Full time

5 days ago
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Benefits offered by this job

Discretionary bonus
Stock options

Job summary

NewsBreak is hiring a Nearby AI Internship in Mountain View to help build a personalized provider-recommendation pipeline end to end, from user understanding with LLMs to provider retrieval and ranking, and backstage agent workflows. You’ll collaborate with engineers and product managers from design through launch.

The role emphasizes hands-on experience with Python/Java, LLM applications, and evaluation harnesses, plus a strong grounding in search, recommendation, and ML basics.

Qualifications

  • 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.

Responsibilities

  • Help build the personalized provider-recommendation pipeline end to end: user understanding with LLMs, provider retrieval and ranking, backstage agent workflows, multi-source knowledge integration, and evaluation, working with engineers and product managers from design through launch.
  • 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

Skills

Python
Java
data structures
algorithms
LLM
RAG
agent workflows
evaluation harnesses
search
recommendation
ML fundamentals

Education

Bachelor's degree in Computer Science or related field

Tools

Git
LLM applications

Job description

NewsBreak is hiring a Nearby AI Internship in Mountain View to help build a personalized provider-recommendation pipeline end to end, from user understanding with LLMs to provider retrieval and ranking, and backstage agent workflows. You’ll collaborate with engineers and product managers from design through launch.

The role emphasizes hands-on experience with Python/Java, LLM applications, and evaluation harnesses, plus a strong grounding in search, recommendation, and ML basics.

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