Computer Vision Researcher (Intern)

About Spyne

At Spyne, our mission is to revolutionize automotive retailing. Every year, 52 million cars are sold in the US, for a combined worth of $1700 billion, and, valuing the used-car market at $1000 billion. Our new-age, Generative AI-powered solutions are designed to transform the car visuals into premium studio visuals. Dealerships & marketplaces across the US & Europe, are able to better engage their online visitors, driving greater customer showroom visits, and eventually sales.

Spyne team, located in Gurugram, India, aims to be the leading software provider in the used-car market, addressing all aspects of the dealer journey, from acquiring and appraising cars to listing, marketing, selling, and managing customer relationships. Supported by top investors like Accel Partners and Storm Ventures, as well as experienced founders, we believe in revolutionizing Digital Production for greater efficiency and intelligence. We are among the very few companies in Gen AI space in India, which has truly commercialized the AI, generating hard cash and revenues. We have been consistently featured among the top Gen AI startups coming out of India, and building for the globe.

Read more about us here:

Product - t.ly/t0Ko5

Recent growth - t.ly/bOv3D

Computer Vision Intern

Job Responsibilities

• Spend time reading new research papers and are trying out the latest code available
• ­Identifying approaches to solve the business use-cases. Looking for innovative solutions by combining information from multiple sources.
• Assist in building, testing, and optimizing computer vision models for generative AI applications.
• Working with the Data team to ensure your data pipelines are well set up and models are being constantly trained and updated.
• Working alongside product team to ensure that AI capabilities are built as democratized tools that provided internal as well external stakeholders to innovate on top of it and make our customers successful
• Working with Infra Engineering teams to ensure your models are scalable, fast and have zero to no downtime.

Job Requirements

• BTech/MTech/PhD or equivalent degree in Computer Science, Engineering or a related subject
• Familiarity with Image Processing Python libraries like OpenCV, etc.
• Good Exposure on Deep Learning Techniques, TensorFlow / Pytorch
• Familiarity with Cloud infrastructure like AWS, Google Cloud, etc or understanding of Container based deployments, etc.
• Experience working with computer vision libraries like OpenCV, Dlib, or similar.
• Familiarity with generative models (GANs, VAEs) and diffusion models.
• Understanding of distributed computing techniques for working with data at scale.
• Critical thinker and problem-solving skills