Intern Applied AI Researcher

We are Spyne, redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help dealers sell online faster—has evolved into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we're scaling fast:✔ Expanded across the US & EU markets✔ Launched industry-first AI-powered Image & 360 solutions✔ Achieved a 5X revenue surge in 15 months, aiming for 3-4X growth this year🚀 Know Our Journey2020: Launched as a visual merchandising platform.2023: Pivoted to AI-driven automotive retail solutions.2024: Achieved 5X revenue growth in 15 months, aiming for 3-4X more.Today: Driving the GenAI revolution with AI-powered sourcing, pricing, CRM, and Agentic AI for dealerships.👉 Read more about us:Studio AI Product - t.ly/t0Ko5Retail AI Product - t.ly/EyKC9Series A Announcement - Spyne raises $16 Mil!Spyne raising another round!!Spyne secures funding for US Expansion!We are looking for an Intern - Applied AI Researcher with a strong foundation in AI, ML, Computer Vision, and Deep Learning to join our Product & Technology Research Team. You will work on developing cutting-edge AI models that transform millions of e-commerce, automotive, food, and real estate raw images into high-quality, processed visuals.As an intern, you will get hands-on exposure to state-of-the-art research, experimenting with the latest AI models and frameworks. You will collaborate with experienced AI engineers and researchers to develop, test, and deploy AI-driven solutions that directly impact businesses worldwide.📍 Location: Gurugram (Work from Office, 5 days a week)🖥 Role: Internship, Applied AI Researcher (6 months preferred)What Will You Do?Explore & Experiment with AI Research – Read and analyze latest research papers, implement new techniques, and experiment with available AI models.Prototype & Validate AI Solutions – Assist in developing and testing deep learning models for image enhancement and transformation.Work on GAN Architectures – Gain hands-on experience with Generative Adversarial Networks (GANs) and their applications.Collaborate with Data Teams – Support in setting up data pipelines and ensuring AI models are continually trained and optimized.Work with Product & Engineering Teams – Help build AI tools that can be utilized by internal and external stakeholders for real-world applications.Optimize AI Models for Deployment – Assist in making AI models scalable, fast, and reliable with guidance from senior engineers.Contribute to AI Democratization – Work on AI capabilities that enable businesses to innovate and succeed with AI-powered automation.

BTech / MTech in Computer Science, AI, or related field (Tier-1/Tier-2 universities preferred). Previous internship experience in AI, Computer Vision, or Deep Learning is a plus.