Staff, Data Scientist

Position Summary...

What you'll do...

We are looking for a computer vision scientist to solve some real retail problems/challenges. Utilize Computer Vision algorithms, Generative AI methods, deep learning architectures, VLMs and state-of-the-art techniques to build and deploy advanced retail solutions.


About Team:
At Walmart, we prioritize innovation and data security. Our team is dedicated to maintaining a secure operating environment and preserving the trust of our customers, associates, and stakeholders. We combine a range of services and expertise to prevent fraud, detect threats, and manage digital risk and access. Our focus is on mitigating attack risks, securing cloud transformation, and fostering a culture of security and reliability within our team

What you'll do:

• Design, train, and deploy deep learning models for object detection, image-based personalization, including product discovery, visual recommendations, and generative image content.
• Build and scale foundation model pipelines that leverage multimodal signals — including text, images, and customer embeddings — to power highly personalized visual experiences.
• Lead innovation efforts on image generative modeling, including diffusion models, CNNs, or text-to-image synthesis aligned with retail context.
• Implement efficient image understanding models for visual similarity, visual search, or classification across Walmart's vast product catalog.
• Design model workflow that integrates with MLOps to optimize model performance and latency, especially for customer-facing features with visual components.
• Contribute to cutting-edge research and internal knowledge by publishing work or presenting findings on vision-language models, multimodal personalization, and generative AI for e-commerce.

What you'll bring:

• MS or (preferably) PhD in Computer Science, Machine Learning, Computer Vision, Applied Mathematics, or a related technical field, with 2–4 years of industry or research experience.
• Demonstrated expertise in deep learning for computer vision, including CNNs, vision transformers (ViTs), and diffusion-based generative models.
• Experience building and deploying image generation, manipulation, or understanding systems in production — such as visual search, personalized image recommendations.
• Proficiency in Python and strong familiarity with deep learning frameworks such as PyTorch, TensorFlow, and image modeling libraries like OpenCV, torchvision, or Hugging Face.
• Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine vision and language for richer customer understanding and content personalization.
• Experience working with large-scale datasets, data pipelines, and distributed training.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.  We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.  
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. 

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) ma