The Cortex team is the core A.I. platform powering the vision of delivering the world's best intelligent personal assistants to Walmart's customers, accessible via natural voice commands, text messages, rich UI interactions, and a mix of all of the above via multi-modal experiences.
We believe /conversations/ are a natural and powerful user interface for interacting with technology and enable a richer customer experiences -- both online and in-store. 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 pure voice and text shopping assistants (Siri, Google Assistant,etc.), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes.
Interested in diving in?
We need passionate and seasoned NLU data-scientists to help us improve and evolve our capabilities, taking into account the full conversational context, multi-modal interactions, and an ever increasing list of use cases.
Come at the right time, and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of an innovative, mission critical product, driven by data-science, used every day, by people you know, and which customers love.
As part of the emerging tech group, you will also have the additional opportunity of building demos, proof of concepts, creating white papers, writing blogs, etc.
Here are some of our team publications:
Papers & Talks:
Minimum Qualifications
- Experience with Python; solid knowledge SQL.
- Hands on experience with classical ML models, test/train/evaluationmetrics, key parameters/techniques that affect model performance
- Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets.
- Familiarity and ideally experience with more recent deep ML models and NLU (e.g., Transformers, BERT, Electra, T5).
- A business analytical mind; ability to communicate with consumers of the model and present results in intuitive ways.
- Experience analyzing data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation.
- Ability to take a project from scoping requirements through actual launch.
- A continuous drive to explore, improve, enhance, 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 any other related field.
Preferred Qualifications
- Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Strong attention to detail and exceptional level of organization
- Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment
- Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between.
- PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)
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About Walmart
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.