Walmart
Overview
Cortex Team is Walmart’s core A.I. conversational platform, powering the vision of delivering the world’s best personal assistants to Walmart’s customers, accessible via natural voice commands, text messages, rich UI interactions, and multi-modal experiences. We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage, and build rich experiences: from voice and text shopping assistants to customer care channels, to mobile apps with multi-modal interaction modes. We are seeking passionate and seasoned NLP data-scientists to help us improve and evolve our capabilities, considering the full conversational context and multi-modal interactions. This is an opportunity to influence the design, architecture, and implementation of an innovative, data-driven product used daily by people you know and loved by customers. As part of the emerging tech group, you will also have the opportunity to build demos, proofs of concept, white papers, and blogs.
What you'll do Work on improving and evolving NLP/NLU capabilities for multi-modal conversational experiences, taking into account conversational context and broad use cases.
Minimum Qualifications
Experience with Python; solid knowledge of SQL.
Hands-on experience with classical ML models, test/train/evaluation metrics, parameter tuning that affects model performance.
Understanding of statistical measures such as confidence intervals, significance of error measurements, and data sets for development and evaluation.
Familiarity with NLU/NLP and recent deep ML models (e.g., Transformers, BERT, Llama, GPTs, Gemini) with safe fine-tuning experience.
A business analytical mindset; ability to communicate results clearly to model consumers.
Experience analyzing data to identify patterns, performing error/deviation analysis, and improving data representations.
Ability to take a project from scoping requirements through launch.
Continuous drive to explore, improve, automate, and optimize models and products.
Excellent oral and written communication skills.
Bachelor’s degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or related field.
Preferred Qualifications
Exposure to real-world, production-grade agentic systems.
Familiarity with LLM serving optimizations and multi-LoRa.
Ability to develop experimental and analytic plans for data modeling, strong baselines, and cause-effect analysis.
Strong attention to detail and organizational skills.
Proven ability to deliver results in a fast-paced, collaborative environment.
Hands-on experience across data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, and related tooling.
PhD in Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics, or related field.
Location and Additional Information Locations include Bellevue, WA; Sunnyvale, CA; and Bentonville, AR. Salary ranges vary by location and are listed per location in the posting. Additional compensation may include annual or quarterly performance bonuses and stock options where applicable.
Equal Opportunity Walmart and its subsidiaries are an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all associates.
#J-18808-Ljbffr
What you'll do Work on improving and evolving NLP/NLU capabilities for multi-modal conversational experiences, taking into account conversational context and broad use cases.
Minimum Qualifications
Experience with Python; solid knowledge of SQL.
Hands-on experience with classical ML models, test/train/evaluation metrics, parameter tuning that affects model performance.
Understanding of statistical measures such as confidence intervals, significance of error measurements, and data sets for development and evaluation.
Familiarity with NLU/NLP and recent deep ML models (e.g., Transformers, BERT, Llama, GPTs, Gemini) with safe fine-tuning experience.
A business analytical mindset; ability to communicate results clearly to model consumers.
Experience analyzing data to identify patterns, performing error/deviation analysis, and improving data representations.
Ability to take a project from scoping requirements through launch.
Continuous drive to explore, improve, automate, and optimize models and products.
Excellent oral and written communication skills.
Bachelor’s degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or related field.
Preferred Qualifications
Exposure to real-world, production-grade agentic systems.
Familiarity with LLM serving optimizations and multi-LoRa.
Ability to develop experimental and analytic plans for data modeling, strong baselines, and cause-effect analysis.
Strong attention to detail and organizational skills.
Proven ability to deliver results in a fast-paced, collaborative environment.
Hands-on experience across data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, and related tooling.
PhD in Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics, or related field.
Location and Additional Information Locations include Bellevue, WA; Sunnyvale, CA; and Bentonville, AR. Salary ranges vary by location and are listed per location in the posting. Additional compensation may include annual or quarterly performance bonuses and stock options where applicable.
Equal Opportunity Walmart and its subsidiaries are an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all associates.
#J-18808-Ljbffr