Senior Data Scientist

Senior Data Scientist (Video) @Walmart Global Tech Israel

About the Team

Join the team defining the future of retail at Walmart Global Tech Israel. Our group is the powerhouse behind Walmart’s industry-leading Augmented Reality and Virtual Try-On experiences, used by millions of customers daily. Our focus is conducting applied research using state-of-the-art technologies in Generative AI, Computer Vision, and Deep Learning. We are moving beyond static images to build the next generation of dynamic, hyper-realistic shopping experiences.

About the Role

We are looking for a Senior AI Researcher to join our R&D team and spearhead the development of our next-generation Virtual Try-On technology.

Experience in training Diffusion Networks is a must for this role. You will be responsible for researching and developing novel deep learning models that generate realistic, temporally consistent video content to help customers visualize apparel in motion. You will work at the bleeding edge of technology, taking ideas from research papers to Proof of Concept (PoC) and eventually to production at massive scale. Experience in GenAI Video is a strong advantage.

What You'll Do

· Lead Generative Video Research: Design and train advanced generative models for video synthesis (e.g., Video Diffusion Models, Temporal Attention layers) to create high-fidelity virtual try-on videos.

· Solve Complex Vision Problems: Tackle challenges specific to video generation, such as temporal consistency, motion preservation, and identity retention across frames.

· Innovate & Prototype: Rapidly develop future-facing Proofs of Concept (PoCs) utilizing Diffusion models, LLMs, and 3D-aware architectures.

· Scale to Production: Collaborate with engineering teams to optimize complex models for low-latency inference, ensuring they can serve millions of users on Walmart.com.

· Stay Ahead of the Curve: Continuously survey the latest academic literature in GenAI, CV, and Graphics, applying key insights to our domain.

What You'll Bring

· M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field (focus on Deep Learning/Computer Vision).

· 5+ years of hands-on research experience in Deep Learning and Computer Vision.

· Strong Technical Stack: Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).

· Experience training image generation networks: Proven experience researching and training generative image models (e.g., Diffusion Models, text-to-image or image-to-image systems) for high-fidelity, photorealistic image synthesis.

Advantage

· Experience training video generation networks: Proven track record researching and training models for video generation. Familiarity with architectures like Video LDM, Sora-like transformers, or Motion Modules is essential.

· Experience with Human-Centric AI (Pose estimation, Human mesh recovery, SMPL).

· Knowledge of 3D Vision technologies (NeRF, 3D Gaussian Splatting).

· Experience optimizing diffusion models for inference speed (distillation, quantization).

· Publication Record: Experience publishing in top-tier conferences (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS) is a strong plus.

Why Join Us?

· Impact at Scale: Your algorithms will directly impact purchasing decisions for millions of users globally.

· Innovation Hub: Work in our Tel Aviv R&D center, a hub known for pioneering virtual try-on technology.

· Resources: Access to massive datasets and world-class compute infrastructure to train large-scale models.