AI Research Scientist

About the Role

Join our team to advance the future of AI by experimenting with cutting-edge techniques and improving generative models to deliver impactful, high-quality experiences for hundreds of millions of users.

Responsibilities

• Determine and lead research initiatives aligned with frontier multimodal AI trends and product goals.
• Design and execute experiments on high-end GPUs to validate research hypotheses.
• Interpret experimental results and translate them into actionable insights for model development.
• Create novel generative model architectures, training methodologies, and synthetic data generation pipelines.

Requirements

• Proven experience in the development, training, and iteration of large-scale text-to-image, video, or 3D generation models.
• Strong academic track record with peer-reviewed publications in top-tier conferences like CVPR, ICCV, NeurIPS, or ICLR.
• Proficiency in Python, PyTorch, and deep learning frameworks such as Diffusers, Transformers, Megatron, or DeepSpeed.
• Experience with large-scale parallel model pre-training across multi-GPU environments.

Nice-to-Haves

• Experience with reinforcement learning (RL) algorithms for model optimization.
• Open-source contributions to the AI research community.
• Ability to communicate complex research findings through documentation, papers, or technical talks.