Machine Learning Intern
Note: To ensure uniformity and authenticity of evaluation, candidates must strictly follow these steps before starting their project: -Star the official Endee GitHub repository (https://github.com/endee-io/endee) -Fork the repository to their personal GitHub account -Use the forked version as the base for building their project This process is mandatory and will be strictly enforced to ensure all candidates are working from the same base repository.
Location
Bengaluru, India.
About the Role
We are looking for Machine Learning Engineer Interns who are excited about AI infrastructure, vector databases, and applied machine learning systems. As an intern, you will work closely with experienced engineers and gain hands on experience designing, optimizing, and evaluating AI powered applications built on vector search and retrieval systems.
Responsibilities
- Work on machine learning workflows involving embeddings, similarity search, and vector retrieval
- Assist in designing and optimizing semantic search and retrieval augmented generation pipelines
- Analyze performance, accuracy, and scalability of vector based systems
- Work with both structured and unstructured data for AI applications
- Support integration of vector databases into AI services and applications
- Write clean, well documented, and maintainable code
- Collaborate with engineering and research teams on AI system design
Requirements
- Proficiency in Python
- Understanding of embeddings, similarity search, or NLP concepts
- Familiarity with Git and version control
- Ability to learn and work with new AI tools and systems
Strong fundamentals in machine learning concepts
Benefits
- Hands on experience with production grade AI infrastructure
- Practical exposure to vector databases and large scale retrieval systems
- Opportunity to contribute to an open source AI project
- Mentorship from experienced ML and systems engineers
- A strong portfolio project demonstrating real world AI skills
- Paid Internship
What We're Looking For
Key evaluation criteria for this role
1This internship follows a project based evaluation approach. Candidates will be evaluated primarily based on a project created using the Endee vector database.
- Star the official Endee GitHub repository (https://github.com/endee-io/endee)
- Develop a well defined AI or ML project using Endee as the vector database
- Demonstrate a practical use case such as semantic search, RAG, recommendations, or similar AI workflows
- Host the project on GitHub
- Provide a clean and comprehensive README including:
- Project overview and problem statement
- System design or technical approach
- Explanation of how Endee is used
- Clear setup and execution instructions
Project Expectations
Submission Requirements
Share the GitHub repository link as part of the application or evaluation process
Apply Now
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Curious about what we're building?
Endee is a high-performance vector database engineered for production AI systems.