Intern Applied AI Researcher
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 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.
What You Must Have?
🔹 Education & Experience
- 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.
🔹 Technical Skills
- Basic experience with GANs – Familiarity with Generative Adversarial Networks (GANs) for image processing tasks.
- Proficiency in Deep Learning Frameworks – Exposure to TensorFlow / PyTorch for AI model development.
- Hands-on with Image Processing Libraries – Experience with OpenCV, PIL, and other Python-based libraries.
- Programming & Debugging – Strong foundation in Python, C/C++, or C# with debugging capabilities.
- Research-Oriented Approach – Ability to read AI research papers and implement key concepts.
🔹 Problem-Solving & Collaboration
- Strong analytical and problem-solving skills with a research-driven mindset.
- Ability to work with cross-functional teams, including data engineers and AI researchers.
- Good communication skills to effectively convey technical ideas.
🔹 Work Setup & Mindset
- Eager to learn and grow in an AI research-driven environment.
- Proactive approach to problem-solving and collaboration.
- Comfortable working in an in-office, high-performance setup.
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! 🚀
