



Job Title: Machine Learning Engineer Intern
Location: Remote
Internship Duration: 3–6 months (with potential to extend/convert)
Company Description
Discovr AI is building the world’s first Generative Engine Optimization (GEO) Platform, helping companies track, analyze, and optimize their visibility across AI-powered search and recommendation engines like ChatGPT, Perplexity, Google AI, and Gemini.
Role Overview
We’re looking for a Machine Learning Engineer Intern who is eager to own end-to-end ML workflows—from building models to managing large-scale data pipelines. This is a unique opportunity to gain real-world, production-level experience while working directly with the founding team.
Key Responsibilities
- Model Development & Deployment: Build and deploy ML models to analyze AI search responses.
- NLP Algorithms: Develop algorithms to interpret search intent and citation patterns.
- Recommendation Engines: Create basic recommendation systems for content and topic optimization.
- Real-Time Monitoring: Implement systems to track AI platform changes.
- Data Engineering:
- Collect responses from multiple AI platforms (ChatGPT, Perplexity, Google AI, etc.).
- Manage real-time ingestion pipelines.
- Build data warehouses for large-scale storage of queries and responses.
- Ensure data quality and consistency.
Required Skills
- Strong foundation in Python.
- Exposure to TensorFlow or PyTorch.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Knowledge of APIs and how to integrate ML models into applications.
- Understanding of NLP basics and text processing.
- Bonus: Familiarity with MLOps and data engineering concepts.
What You’ll Gain
- Hands-on experience in building production-ready ML systems.
- Exposure to LLMs, AI search platforms, and GEO analytics.
- Direct mentorship from the founding team.
- Opportunity to own projects end-to-end, not just assist.

About Discovr AI
About
Building the performance layer for AI-driven browsing and connect brands with super-intelligence
Candid answers by the company
Building the performance layer for AI-driven browsing and connect brands with super-intelligence
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