Senior, Data Scientist (machine Learning Engineer)

Walmart

Sunnyvale, CA, United States
On-site
Production ml systems at scale
Model serving and inference optimization
Generative ai technologies (llms, rag)
Walmart is seeking a Senior Data Scientist (Machine Learning Engineer) for its Trust and Safety team in Sunnyvale, CA. The role involves developing and deploying machine learning models to enhance the quality and safety of Walmart's catalog, leveraging advanced technologies like Generative AI and deep learning

Job Summary

  • Design and deploy production-grade ML systems for Walmart's Catalog Trust & Safety platform, spanning classification, detection, and segmentation.
  • Apply GenAI, NLP, and Computer Vision techniques to build and continuously improve models for compliance detection, content moderation, and policy violation classification.
  • Own the full model lifecycle — from experimentation and offline evaluation through serving, monitoring, and iterative improvement in production.

Matching Summary

Match Score: 85

Walmart is seeking a Senior Data Scientist (Machine Learning Engineer) for its Trust and Safety team in Sunnyvale, CA. The role involves developing and deploying machine learning models to enhance the quality and safety of Walmart's catalog, leveraging advanced technologies like Generative AI and deep learning.

Skills & Requirements

Must-have

  • Production ML systems at scale
  • Model serving and inference optimization
  • Generative AI technologies (LLMs, RAG)
  • Classical ML and deep learning architectures
  • High-throughput inference pipelines
  • Python and ML ecosystem tooling
  • Kubernetes and container orchestration
  • ML observability and monitoring
  • MLOps tooling and practices
  • Cloud platform experience (GCP, Azure)
  • Vector databases for GenAI
  • Git version control

Nice-to-have

  • Translating research into production
  • Building accessible digital experiences
  • Knowledge of accessibility best practices

Key Requirements

  • PhD or Master's in Computer Science, or equivalent experience; 3+ years building and deploying production ML systems at scale
  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
  • Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
  • 5 years' experience in an analytics or related field.

Work Rights

Not specified

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