
(USA) Staff, Software Engineer | MLE
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Overview
Schedule
Full-time
Part-time
Career level
Senior-level
Compensation
$143,000-$286,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Job Description
Position Summary...
What you'll do...
.About Emerging Tech TeamThe 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.What you will be part ofAt 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.Key responsibilities
- Develop Multi-Modal GenAI Models: Design and build models for content generation (imagery, video, 3D assets) and content intelligence (segmentation, object detection, spatial awareness, and keypoint detection).
- Scale Data Pipelines: Process large-scale datasets using distributed cloud computing technologies to create and maintain high-fidelity 2D and 3D assets.
- Ensure Model Excellence: Establish robust experimentation frameworks to evaluate model performance across realism, accuracy, latency, and downstream usability.
- Drive Production Integration: Collaborate end-to-end with product, engineering, and annotation partners to deploy scalable AI applications and manage their lifecycle.
- Innovate & Optimize: Translate state-of-the-art research papers into production-grade solutions, improving every aspect of the pipeline—from data generation techniques to efficient model inference.
- Cross-Functional Collaboration: Partner with internal Data Science teams to enable high-quality, AI-powered user experiences in the computer vision space.
Minimum qualifications:
- 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, with at least 1 year dedicated to deep learning.
- Proven experience launching ML models in production environments and building scalable pipelines/services.
- Hands-on experience with multi-modal LLMs, diffusion models, 3D representation learning, or spatial/keypoint modeling.
- Proficiency in Python, along with frameworks such as PyTorch, PyTorch3D, TensorFlow, TensorFlow 3D, JAX, or NumPy.
- Experience with Unix, Docker, and optimizing workflows for CPU/GPU architectures.
Preferred qualifications:
- PhD in Machine Learning, Computer Science, or a related technical field.
- Experience in digital commerce, AR/VR, or rich media personalization.
- Deep expertise in 3D Deep Learning (e.g., PyTorch3D, NVIDIA Kaolin) and 3D Modeling tools (e.g., Maya, Blender, photogrammetry).
- Experience building Augmented Reality applications using Unity or other AR SDKs.
- Deep experience with scalable ML infrastructure and content delivery systems.
- Understanding of human-in-the-loop evaluation, perceptual quality metrics, and responsible AI frameworks.
- Recognized contributions to the field through publications, patents, open-source projects, or public talks.
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Automate your job search with Sonara.
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FAQs About (USA) Staff, Software Engineer | MLE Jobs at Walmart
What is the work location for this position at Walmart?
This job at Walmart is located in Sunnyvale, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Walmart?
Candidates can expect a pay range of $143,000 and $286,000 per year.
What employment applies to this position at Walmart?
Walmart lists this position under the following employment categories:
- Full-time
- Part-time
What experience level is required for this role at Walmart?
Walmart is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Walmart?
You can apply for this role at Walmart either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.