Staff, Data Scientist_Conversational AI

Position Summary...

What you'll do...

Position Summary...

• Develop and customize state-of-the-art deep learning based generative models and multimodal models to support conversational customer shopping experience;
• Utilize cutting-edge machine learning/statistical/optimization techniques to deliver solutions for projects in the domain of conversational AI;
• Build, validate, test and deploy language models combined with different machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems;
• Mine massive data, derive business insights, and propose interesting modeling projects that have the potential to have high business impact;
• Collaborate with engineering teams to define interfaces, understanding and resolving dependencies;
• Standardize and build scalable and highly available systems that follow operational best practices;
• Develop visuals and reports to efficiently communicating model results and insights to business teams;
• Maintain world-class academic credentials through patent applications, publications, conference presentations, and external collaboration and service to the research community.

What you'll do...

You will work on 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 a mix of all 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 experience – 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 (Sparky), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes. We also partner with different external super-agent platforms (ChatGPT) to provide and optimize potential customers’ shopping experience.

Interested in diving in?

We need passionate and seasoned NLP 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.

Minimum Qualifications

• Rich experience with NLP and language models (e.g., Transformers, BERT, Llama, GPTs, Gemini), including but not limited to prompt engineering, fine-tuning and efficient deployment.
• Experience with agentic system development, including but not limited to static/agentic flow design, agentic system evaluation.
• Solid programming skills of Python and familiar with challenges working with large data;
• 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.

Preferred Qualifications

• Expertise in working with deep-learning based generative/multi-modal models or similar research experience with deep-learning/AI.
• Expertise in NLP and language models (e.g., Transformers, BERT, Llama, GPTs, Gemini), including but not limited to prompt engineering, fine-tuning and efficient deployment.
• Expertise in agentic system development, including but not limited to static/agentic flow design, agentic system evaluation.
• Solid programming skills of Python and familiar with challenges working with large data.
• Ability to independently take a project from scoping requirements through actual launch, driving alignment between product, engineers and UX designer.
• Rich experience in continuous drive to explore, improve, enhance, automate, and optimize models and products.
• Excellent oral and written communication skills.
• PhD degree in computer science, statistics, data science, mathematics or other discipline (e.g., electrical engineering, economics, psychology) that exposes scientific methods of research and analysis.
• Strong academic and publication record is required (NeurIPS, ICML, EMNLP, ACL, ICLR, AAAI, KDD etc.).

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the for