Senior Computer Vision Researcher

Senior Computer Vision Researcher

Who are we?

We are Spyne, redefining how cars are marketed and sold with cutting-edge Generative AI . What started as a bold ideausing AI-powered visuals to help dealers sell online fasterhas 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, were 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

Now, were 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/t0Ko5

Retail AI Product - t.ly/EyKC9

Series A Announcement -

Spyne raises $16 Mil!

Spyne raising another round!!

Spyne secures funding for US Expansion!

What are we looking for?

Were hiring a Senior Applied AI Researcher Computer Vision to lead the next generation of Generative and 3D AI models for automotive retail.

Youll 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 experience

What will you do?

• Lead 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.

What will make you successful in this role?

• Strong grasp of Generative AI diffusion models, GANs, and hybrid architectures.
• Experience in 3D Computer Vision NeRFs, depth estimation, or multi-view geometry.
• Deep proficiency with PyTorch , OpenCV, and image transformation frameworks.
• Comfort deploying and scaling models across AWS/GCP/Azure using Docker/Kubernetes.
• Ability to optimize for real-time performance , profiling, and latency reduction.
• Research mindset with strong analytical and debugging instincts.
• Collaborative communication can translate complex AI into product impact.

What you must have

• BTech / MTech / MS in Computer Science, AI, or related field (Tier-1/Tier-2 preferred)
• 35 years of hands-on experience in Computer Vision , Generative AI , or 3D Deep Learning
• Production experience with Diffusion/GANs , 3D reconstruction , transformers , or scene understanding
• Strong command over Python , PyTorch , and cloud-based deployment stacks

Why Spyne?

• Real-world AI at scale - build models that touch millions of car listings.
• Fast-track growth - high autonomy, direct impact, zero bureaucracy.
• Research + Product fusion - space to experiment, pressure to ship.
• A-Grade team - work with top-tier AI engineers and product minds.
• Tools & compute - everything you need for serious experimentation.
• Employee-first culture - full health coverage, transparent growth paths, and ownership opportunities.