Computer Vision AI Intern

ZYCUS's Ataavi is looking for a Computer Vision / AI Intern who is excited about applying AI to birds, biodiversity, and nature.

We are building capabilities that can help users identify birds from photographs and bird calls from audio recordings. We are looking for someone who enjoys experimenting with modern computer vision and machine learning techniques and can help us improve the accuracy and robustness of these systems.

What you will work on

• Build and improve models for bird identification from images.
• Explore computer vision techniques for challenging real-world bird photographs — different angles, backgrounds, lighting conditions, partially visible birds, etc.
• Work on bird-call and bird-song identification using audio ML techniques.
• Experiment with approaches such as spectrogram-based classification, audio embeddings, multimodal models and foundation models.
• Evaluate existing open-source models and datasets, including approaches similar to BirdNET and other biodiversity AI systems.
• Create experiments, benchmark model accuracy and identify ways to improve performance.
• Potentially contribute to production features within the Ataavi birding app.

Who we are looking for

You could be in any year of college. What matters more than your year or degree is demonstrated ability and curiosity.

Ideally, you have:

• Strong interest in Computer Vision, Machine Learning or Deep Learning.
• Hands-on experience with Python and frameworks such as PyTorch or TensorFlow.
• Experience working with image classification, object detection, embeddings, transformers or related techniques.
• Some exposure to audio/signal processing or audio classification would be an advantage.
• Completed a meaningful research project, paper, internship or independent project in computer vision/ML.
• Ability to read research papers and turn ideas into working experiments.

Students from leading engineering and science colleges with strong projects and research work are particularly encouraged to apply,

This role is especially suited for someone who

Has experimented beyond standard coursework — built models, reproduced papers, participated in research, worked with large datasets, competed in ML challenges, or created an interesting AI project independently.

An interest in birds, wildlife or conservation is a bonus, but not required.

Internship

This is a hands-on internship where you will get the opportunity to work on a real-world AI problem involving computer vision + audio intelligence + biodiversity, with the possibility of your work being used by birders across India.