Applied Research Engineer - I (Computer Vision)

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 yearNow, we're rolling out an end-to-end GenAI Automotive Retail Suite and pushing into the US market to bring our AI-driven products to 3,000-4,000 dealers.👉 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!You'll design, train, and deploy production-grade deep learning systems that turn raw visual data into realistic, market-ready imagery for thousands of dealerships worldwide.📍 Location: Gurugram (Work from Office, 5 days a week)💼 Role: Full-time | 0 - 3 years of experienceLead Model Development: Architect and optimize deep learning models for image synthesis, enhancement, segmentation, and 3D scene understanding.Advance Generative AI: Fine-tune and innovate on diffusion and GAN architectures for photorealistic image generation, inpainting, and visual consistency.3D Vision Innovation: Work on NeRFs, Gaussian Splatting, multi-view geometry, and depth estimation for realistic 3D reconstruction.Model Optimization & Deployment: Ensure scalable, low-latency deployment using Docker, Kubernetes, and ONNX in cloud production environments.Integrate AI Techniques: Blend diffusion models, transformers, and GANs for controllable image generation pipelines.Post-Processing & Ranking: Develop quality metrics and ranking algorithms to evaluate and improve visual outputs.Research Awareness: Stay on top of cutting-edge vision research and translate it into production-ready systems.Mentor & Collaborate: Guide junior engineers, collaborate with product and data teams, and drive end-to-end innovation.

BTech / MTech / MS in Computer Science, AI, or related field (Tier-1/Tier-2 preferred)