Chance to develop learning-based vision-aided navigation systems for autonomous UAVs.
Hands-on exposure to real-world flight testing, dataset collection, and field validation of AI-driven autonomy.
Ownership of algorithms from dataset preparation and training through geometric validation and embedded deployment.
Close collaboration with perception, navigation, estimation, embedded and flight-control teams.
An aggregated scope for R&D; and software development.
About The Role
The Mid-Senior Computer Vision & Machine Learning Engineer is a hands-on role focused on building, adapting, validating and deploying computer-vision and machine-learning pipelines for visual navigation.
The role requires strong practical experience in computer vision, deep learning, and real-time deployment on embedded platforms.
This is not a generic image classification or object detection role.
The engineer must understand how visual algorithms produce measurements that can be consumed safely by a navigation or state-estimation system.
The engineer is not expected to independently architect the complete navigation stack but must be capable of owning individual CV/ML pipelines and delivering estimator-ready outputs.
This role is ideal for engineers who enjoy taking algorithms from research to real-life deployment.
Key Responsibilities
Develop and improve learned local-feature detection, description and matching pipelines for vision-aided navigation.
Generate positive and negative correspondence pairs using known poses, geometry, depth, synthetic transformations or pseudo-labels.
Improve feature repeatability, spatial distribution, descriptor discriminability and matchability across changing viewpoints and altitudes.
Apply geometric verification and robust outlier rejection before using learned correspondences for pose estimation.
Build and manage datasets and data pipelines, including data collection during
📌 Engineer III (Bengaluru)
🏢 NewSpace Research & Technologies
📍 Bengaluru
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