Description
Applied Research Engineer - II (Computer Vision)
Department: AI
Experience: 3 - 5 Years
Applied Research Engineer - II (Computer Vision)
Who are we?
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
Now, 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/t0Ko5
Retail AI Product - t.ly/EyKC9
Series A Announcement -
What are we looking for?
We’re hiring a Senior Applied AI Researcher – Computer Vision to lead the next generation of Generative and 3D AI models for automotive retail.
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 | 3–5 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)
- 3–5 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.
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