AI/ML research (Internship)

This role is for someone who has… previously worked on both traditional ML techniques and generative agentic workflows and wish to work in high pace environment. If this is you, READ ON!

👉 Application Form: https://forms.gle/izaG2ihm3eNikQri8
And iff you want to stand out, email me Loom demo and walkthrough of your top 2 projects.

Tenure: 4 to 6+ months
Stipend: INR 25 - 45k per month
Location: Remote / Bengaluru (Preferred)

About us?

We are the crazy ones — shaping education with a deep commitment to our students, building a generational company along the way, and having a blast doing it. We absolutely love people who communicate smoothly, take ownership naturally, and are eager to grow and move fast.

What we are looking for:

• Prior Internship in AI/ML or quality projects done using Python/NodeJS
• Have built LLM pipelines and agentic workflows.
• Worked on quality retrieval RAGs or knowledge graphs.
• Understands prompt engineering techniques
• Comfortable with github and google colab.
• Bonus: Trained models in text, image, or voice.
• Bonus: Have built dashboards/workflows using Claude code / codex.
• Bonus: Have worked on agentic pipelines
• Bonus: Basic software engineering - postgreSQL, understanding of rate limiting, basics of security.

🔵 Note: This is a full-time internship. Flexibility is there only if you have a some classes per week. If your college schedule is not convenient, come in touch next semester.

Responsibilities:

• Building pipelines, prepare high quality datasets with content team
• Research and implement appropriate approaches from research papers/blogs.
• Running AI experiments, fine tuning
• Keep yourself updated with evolving tech - new models, training techniques, tooling.
• Important: We thrive on smooth communication, ownership and agility. It’s a must.

🔵 Important: We thrive on smooth communication, ownership and agility. It’s a must.

You resume will be short listed as per your projects or prior internship experience. After this, an introductory call will be set.

• Introductory call (15 min) - We will discuss your projects in detail. You can ask relevant questions. Depending upon the depth of experience, the next steps will be discussed.

• Round 1, Assignment that takes 3-4 days. This is to evaluate your scientific approach to the problem statement and solutioning. We will have 25-40min discussion on feedback.

• Round 2, 1 hour Face to face round. Tech round (ML/Software engineering). Optional round, can be skipped if Round 1 done as per expectations.

• Final discussion round