Note to applicants: Instructions on how to submit your application via email are at the bottom of this post.
About Lear Labs
Lear Labs is an enterprise AI lab dedicated to solving the hardest AI and machine learning problems for leading organizations in India and beyond. We move past theoretical proofs-of-concept to build robust, production-ready systems. Our partners include top-tier enterprises, sprawling conglomerates, and government bodies who rely on us to deliver models that work reliably in the real world.
About the Role
We are building a production computer-vision platform that ingests large volumes of continuous imagery and video captured from moving devices operating at variable speeds. It turns this data into structured, geo-referenced findings, and serves those findings to non-technical decision-makers through dashboards and reports.
This is not a research seat and it is not a proof-of-concept. The models you build will run continuously against real-world footage — shot at speed, in bad light, on cheap lenses,
across seasons — and the output will be used by people who make budget and operational decisions on it. Accuracy, reliability, and cost per processed hour of video all matter.
You will be the technical owner of the vision and data side of the platform: model architecture, the training data pipeline, the labelling standard, the evaluation harness, and the GPU infrastructure it all runs on. As the platform grows, this role grows into an ML lead position with a team under it.
What the Work Involves
Detection models. Fine-tuning object detection models on custom data — including classes that are small, low-contrast, or partially occluded. Choosing thresholds against a real objective rather than a leaderboard metric.
Tracking and counting. An object appearing across a hundred frames is one object, not a hundred. Tracking across occlusions and gaps, de-duplication, and counts that hold up when someone checks them by hand.