Senior AI Researcher

About the client

Our client is a VC-backed startup on a mission to transform how design teams create branded content through generative AI. They're building a world-class AI team that blends cutting-edge research with product-driven engineering to create tools that designers love.

They value autonomy, technical excellence, and bold thinking. If you're excited to push the boundaries of what's possible in generative AI while delivering tangible impact, they'd love to hear from you.

About the Role

We're seeking an experienced researcher to lead the client's innovation pipeline for next-generation AI features. You'll work closely with the Head of AI and co-founders to shape research direction, evaluate emerging techniques, and drive ideas from paper to product.

What You'll Do

Lead cutting-edge research in generative AI, computer vision, and creative tooling

Translate novel research into high-quality prototypes and production-ready features

Build and manage our innovation pipeline, including internal benchmarks and evaluation frameworks

Stay on top of emerging trends and assess new architectures for potential integration

Publish research, present at top-tier conferences, and represent company within the AI research community

Collaborate closely with engineering to bridge the gap between research and product execution

You Should Have

PhD in Computer Science, Artificial Intelligence, or a related field

Strong publication record in top-tier AI venues (e.g., CVPR, ICCV, NeurIPS, ICLR)

Deep expertise in generative models, including diffusion models and transformers

Demonstrated experience building research prototypes and translating them into real-world applications

Prior leadership in academic or industry research projects

Must be based in Vietnam

Bonus Points For

Experience applying AI in creative domains (e.g., design tools, image editing, content generation)

Proven ability to shape research strategy that aligns with product direction

Strong communication and collaboration skills across research and product teams