Staff, Data Scientist

Requirements

• Master's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field, with 3+ years work experience in the industry
• Extensive experience with NLU/NLP, more recent deep ML models (e.g., Transformers, BERT, Llama, GPTs, Gemini) and safe fine-tuning of these.
• Extensive experience in designing, developing and deploying end-to-end Generative AI systems using transformer-based LLM architectures (both open source and close source)
• Experience with Python; solid knowledge SQL.
• Hands on experience with classical ML models, test/train/evaluation metrics, 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.
• Ability to take a project from scoping requirements through actual launch.
• A continuous drive to explore, improve, enhance, automate, and optimize models and products.
• Experience analyzing conversational data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation.
• Excellent oral and written communication skills.
• PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)
• Experience developing multimodal solutions for Generative AI and related applications at scale
• Exposure to real-world, production grade agentic systems.
• Familiarity with LLMs serving optimizations and multi-LoRa
• 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.
• You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
• For information about PTO, see https://one.walmart.com/notices.

Additional Information

Position Summary... What you'll do... Immigration Sponsorship is not available in this role What you'll do... Cortex Team is Walmart's core A.I. conversational platform, powering the vision of delivering the worlds best 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, Sparky), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes (Me@Walmart). 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.

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