This role pays more than
89%
of similar roles. Most pay
$126,800–$184,912
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$156k
for comparable roles.
Based on 240 similar postings.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
499 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 493 roles with salary data.
Join Walmart's Cortex Team as an experienced NLP data scientist working on cutting-edge conversational AI technologies. You will contribute to developing next-generation Natural Language Understanding services, integrating voice commands, text messages, and rich UI interactions for both online and in-store customer experiences. Your daily tasks include fine-tuning deep learning models like Transformers and BERT, designing end-to-end generative AI systems, and analyzing conversational data to enhance model performance. Essential skills include extensive experience with Python, SQL, classical ML models, and a strong understanding of statistical measures. Ideal candidates have a Master's degree or higher in Machine Learning, Computer Science, Engineering, Mathematics, Statistics, or related fields, along with hands-on expertise in multimodal solutions and production-grade agentic systems. This role offers the chance to make significant contributions to an innovative, mission-critical product used daily by millions of customers.
Skills
Python
SQL
Transformers
BERT
GPTs
LLMs
NLU
NLP
ML
CI/CD
What you'll do
Develop and fine-tune deep ML models for natural language understanding and generation.
Design and deploy end-to-end generative AI systems using transformer-based architectures.
Analyze conversational data to identify patterns and improve system performance.
Implement safe fine-tuning practices for large language models like BERT, GPTs.
Create experimental plans for data modeling processes and determine cause-effect relations.
What we're looking for
Master's degree or certification in relevant field with 3+ years experience.
Extensive experience with NLU/NLP, deep ML models (Transformers, BERT), and safe fine-tuning.
Hands-on expertise in designing, developing, and deploying end-to-end Generative AI systems using transformer-based LLM architectures.
Solid knowledge of Python, SQL, classical ML models, test/train/evaluation metrics, and statistical measures.
Ability to analyze conversational data for patterns, conduct error/deviation analysis, and optimize models/products continuously.