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Senior, Data Scientist

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Walmart

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Location:
United States of America , Sunnyvale

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

117000.00 - 234000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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.

Requirements:

  • 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, TensorFlow) for analyzing model outputs and building evaluation pipelines.
  • Experience processing unstructured data (image, video, 3D meshes) for analytical purposes.

Nice to have:

  • PhD in Machine Learning, Computer Science, or a related technical field.
  • Experience designing Reward Models for RLHF pipelines.
  • Deep understanding of 3D geometry processing (meshes, point clouds) and how to mathematically quantify '3D quality' (e.g., mesh manifoldness, texture resolution).
  • Experience with Crowdsourcing platforms and designing instructions for subjective human evaluation.
  • Publication record or practical experience in Computational Photography, Computer Vision Quality Assessment, or Psychophysics.
  • Experience with Big Data tools (Spark, SQL, BigQuery) for analyzing large-scale experiment results.
What we offer:
  • 401(k) match
  • stock purchase plan
  • paid maternity and parental leave
  • PTO
  • multiple health plans
  • medical
  • vision
  • dental
  • company-paid life insurance
  • short-term and long-term disability
  • company discounts
  • Military Leave Pay
  • adoption and surrogacy expense reimbursement
  • Live Better U education benefit program

Additional Information:

Job Posted:
May 09, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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