Computer Vision Researcher (3D)
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
🚀 Know Our Journey
- 2020: 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:
What Are We Looking For?
We are looking for a Computer Vision Engineer / Researcher with expertise in AI, ML, Computer Vision, and Deep Learning to join our Product & Technology Research Team. You will develop and deploy state-of-the-art AI models that transform millions of e-commerce, automotive, food, and real estate raw images into high-quality, processed visuals.
As part of our research-driven AI team, you will not only develop core models but also deploy them on cloud infrastructure to power intelligent automation. Your work will directly impact millions of businesses by enabling them to create high-quality images and videos at scale.
📍 Location: Gurugram (Work from Office, 5 days a week)
🖥 Role: Full-time, Computer Vision Engineer / Researcher (1-3 years experience)
What Will You Do?
- Stay Updated with Cutting-Edge Research – Read, analyze, and experiment with the latest Computer Vision and AI research papers.
- Innovate & Solve Real-World Problems – Identify novel AI-driven solutions to business challenges by combining information from multiple sources.
- Work on GAN Architectures – Design, train, and optimize GAN-based models for image enhancement and transformation.
- Develop & Maintain AI Models – Train, fine-tune, and deploy deep learning models for image processing, segmentation, classification, and enhancement.
- Build Scalable AI Pipelines – Work with data engineering teams to ensure proper data pipelines for constant model updates and improvements.
- Democratize AI Capabilities – Develop AI tools that allow internal and external teams to leverage AI-driven innovations for customer success.
- Optimize Model Performance – Ensure that models are scalable, fast, and have near-zero downtime by working with infrastructure engineering teams.
- Lead & Mentor – Guide and collaborate with junior AI engineers/researchers to accelerate team productivity and research advancements.
What You Must Have?
🔹 Education & Experience
- BTech / MTech in Computer Science, AI, or related field (Tier-1/Tier-2 universities preferred).
- 1-3 years of experience in Computer Vision, AI, and Image Processing.
🔹 Technical Expertise
- Experience with GANs – Hands-on experience working with Generative Adversarial Networks (GANs) for image synthesis, inpainting, and enhancement.
- Proficiency in Deep Learning – Strong expertise in TensorFlow / PyTorch for training and deploying AI models.
- Strong Image Processing Skills – Experience with OpenCV, PIL, and other Python-based image processing libraries.
- Programming & Debugging – Proficiency in Python, C/C++, or C#, with experience in debugging and optimizing model performance.
- Cloud & Deployment Experience – Hands-on experience in deploying AI models on cloud platforms (AWS, GCP, Azure).
- Research Mindset & Innovation – Ability to critically analyze research papers and apply findings to real-world applications.
🔹 Problem-Solving & Collaboration
- Strong analytical and problem-solving skills with a research-driven mindset.
- Ability to work with cross-functional teams, including data engineers, software developers, and product managers.
- Excellent communication skills to explain complex AI models in simple terms.
🔹 Work Setup & Mindset
- Comfortable working in a high-performance, in-office environment.
- Strong ownership from Day 1, proactively solving challenges.
- Proficiency in Agile methodologies and collaboration tools like Git, Jira, and Confluence.
Why is Spyne an Employee-Centric Company? 🚀
At Spyne, we don’t just offer jobs—we build careers in a thriving, people-first environment. Here’s what makes us stand out:
- Comprehensive Health & Life Coverage – We care about you and your loved ones! Benefit from GMC, GPA, and GTLI coverage, ensuring peace of mind for you and your family.
- Performance-Driven Growth – Your efforts matter! We foster a high-impact, innovation-first culture, ensuring fast career progression and opportunities to take ownership from Day 1.
- Elevate Learning & Development – Stay ahead with our exclusive Elevate program, granting access to LinkedIn Learning’s vast repository, mentorship programs, and hands-on AI-driven projects to upskill every day.
- Work from Office Advantage – Immerse yourself in an environment where collaboration, creativity, and growth happen in real time. Our high-energy, office-first culture fuels innovation and teamwork like nowhere else.
Why Spyne?
- Strong Culture: A supportive and collaborative work environment.
- Transparency & Trust: High levels of autonomy and trust in decision-making.
- Competitive Salary & Equity: Stock options for top performers.
- Dynamic Growth Environment: Join us and thrive in a fast-paced, high-growth setting that challenges and accelerates your professional development.
If you thrive in a fast-paced, innovation-driven setup and love solving complex tech challenges, this role is for you! 🚀
