Senior, Data Scientist

Position Summary

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores.

Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life.

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That is what we do at Walmart Global Tech. We are a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates.

To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption.

The Emerging Tech team is passionate about solving customer and associate problems with the newest technologies. The team is responsible for creating breakthrough capabilities, delivering frictionless experiences, and making these technologies easily available to thousands of Walmart developers and 2.2 million associates. The applications and services built on these capabilities are used by hundreds of millions of customers daily. We are building new platforms to bring physical and digital world together.

At Walmart’s Emerging Tech Extended Reality team, we own some of the most challenging, fascinating, and impactful work in the fields of Computer vision, Machine learning and Deep Learning for next generation Augmented Reality and Virtual Reality experiences. We are looking for Applied Scientists/researchers/Computer vision engineers with algorithms, programming and/or systems background.

• Design Multi-Modal Evaluation Frameworks: Develop and validate novel evaluation metrics for non-deterministic outputs, specifically video, image, for 3D assets, and audio.
• Build "AI-as-a-Judge" Systems: Fine-tune Vision-Language Models (VLMs) and Reward Models to serve as automated evaluators, creating scalable proxies for human judgment.
• Lead Experimentation & Causal Inference: Design and analyze A/B tests to measure the downstream business impact of GenAI content; apply causal inference techniques to understand how specific asset attributes drive user engagement.
• Orchestrate Human-in-the-Loop (RLHF) Strategy: Define protocols for human evaluation, managing the relationship with annotation partners to create high-quality "Golden Sets" for benchmarking and Reinforcement Learning from Human Feedback (RLHF).
• Strategic Cross-Functional Partnership: Collaborate with ML Engineers and Product Managers to establish "Go/No-Go" model launch criteria based on latency, safety, and perceptual quality standards.
• Research & Innovation: Stay current with state-of-the-art research in perceptual quality (e.g., FID, CLIP scores, VQA) and implement advanced techniques to detect hallucinations, artifacts, or bias in generated content.

• Master's degree in Computer Science with a specialization in Computer Vision, Machine Learning, or equivalent practical experience.
• 3+ years of experience with machine learning algorithms and tools.
• Strong foundation in statistical analysis, experimental design (A/B testing), and causal inference.
• Hands‑on experience with Generative AI evaluation (e.g., using LLMs/VLMs for evaluation, computing FID/IS/CLIP scores, or designing perceptual studies).
• Proficiency in Python and deep learning frameworks (PyTorch, Tensor Flow) for analyzing model outputs and building evaluation pipelines.
• Experience processing unstructured data (image, video, 3D meshes) for analytical purposes.