Who we are

We’re building S18LabX, an early-stage sports-tech startup in Pune focused on sports video intelligence and AI-assisted coaching. Founded by Arjun Shah (Columbia MBA; previously at Nanonets, Credit Suisse and Barclays) and Chirag Lulla (entrepreneur and sports team owner), we aim to turn training footage into useful insights for players, coaches, and parents.

A coach can watch a training session and understand each action: the setup, movement, contact, outcomes, and patterns. We’re developing AI to do the same from ordinary phone footage, despite the variability of real training environments.

We’re looking for an AI / Computer Vision Intern with strong ML fundamentals to work alongside our engineering team on the models and data behind the product.

You’ll work with real training footage, test different approaches, learn how we evaluate model performance, and help turn promising experiments into practical tools for coaches.

Responsibilities

- Run experiments on real training footage: fine-tune vision and video models, build evaluation datasets, measure results, and analyse failures.
- Help develop models for tracking, action segmentation, movement, contact, and other key events in training video.
- Build labelling tools and dataset workflows with the team to turn coach corrections into useful training data.
- Evaluate performance on unseen training sessions and communicate what works, what doesn’t, and what to investigate next.
- Write clean, reproducible code and document experiments so the team can understand and build on your results.
- Work with the founders and engineers on experiments that inform product and technical decisions.
- Own a clearly scoped problem from start to finish, with guidance from the engineering team: idea → experiment → results → next iteration.

The loop you’ll help build and improve

Video → AI analysis → Coach correction → Proprietary labelled data → Better models → Better product

What we’re looking for

Must have

- Final-year student or recent graduate in computer science,



engineering, data science, or an equivalent field, with strong ML fundamentals.
- Hands-on experience building and training models in Python and PyTorch, through coursework or your own projects.
- A working understanding of at least one area such as object detection, tracking, pose estimation, action recognition, or video understanding.
- At least one project you’ve built end to end and can explain clearly: the problem, what you built, how you evaluated it, and what went wrong.
- Comfort working with messy, noisy, real-world data and limited labelled datasets.

Nice to have

- Experience with OpenCV, FFmpeg, or similar video processing tools.
- A public GitHub, Kaggle profile, or research paper that demonstrates your work.
- Broader software engineering skills in backend development, data pipelines, or application development.
- Interest or experience in sports, biomechanics, or sports analytics.

You do not need prior professional experience or a sports background. We care more about what you’ve built, how you reason, and how you approach unfamiliar problems.

The kind of person who will thrive here

You’re curious, practical, and comfortable learning through experimentation. You take initiative, ask thoughtful questions, and work through problems even when the answers aren’t obvious.

We value strong experimental instincts: form a hypothesis, test it, measure the results, and use the evidence to decide what to pursue next.

One week you might be fine-tuning a video model. The next, improving a labelling tool or investigating why a model performs well on one dataset but struggles with new footage.

You’ll work directly with the founders and engineering team, combining technical rigour with practical product development. The goal is to build useful software, learn from real training environments, and keep improving.

Role

- Paid internship with a monthly stipend.
- 3–6 months, with duration agreed individually and a flexible start date.
- Pune preferred; remote or hybrid arrangements considered for the right person.
- Potential to convert to a full time role.

📌 AI / Computer Vision Intern · Pune or remote
🏢 S18LabX
📍 Pune