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Walmart Canada · 1 month ago

(USA) Staff, Data Scientist | Gen AI Vision

(USA) Crossman Respect Building CA SUNNYVALE Home Office

Full-time

Onsite

Senior Level, Lead/Staff

4+ years exp

Walmart Inc. is seeking a Staff Data Scientist to join their Cortex Team, which focuses on developing advanced A.I. conversational platforms. The role involves improving Natural Language Understanding services and building innovative, mission-critical products that enhance customer experiences.

DeliveryRetailShopping

Responsibilities

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 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)

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

Qualification

Natural Language UnderstandingGenerative AI systemsDeep learning modelsPythonMachine LearningSQLStatistical analysisCommunicationAttention to detailProject management

Required

Master's degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field, with 3+ years work experience

Experience with prompt tuning, in-context learning, and conducting both offline and online evaluations to identify and optimize the best-performing models

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

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field

Option 3: 6 years' experience in an analytics or related field

Preferred

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