Walmart
(USA) Staff, Data Scientist | Gen AI Vision
Walmart, Sunnyvale, California, United States, 94087
What you’ll do
Develop and apply state‑of‑the‑art deep learning based generative models and multi‑modal models such as text, image, and video generation, and capture multimodal data relationships.
Proficient in evaluating trade‑offs between open source vs. Cloud APIs for multimodal Gen AI in terms of performance and cost efficiencies.
Work with large‑scale data and curate in‑house domain datasets from scratch.
Collaborate with Engineering teams to define interfaces, understand and resolve dependencies.
Standardize and build scalable and highly available systems that follow operational best practices.
Develop visuals and reports to efficiently communicate 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.
Qualifications
Expertise in working with deep‑learning based generative/multi‑modal models or similar research experience with deep‑learning/AI.
Experience with multimodal generative models for text, image, audio, and video generation.
Experience with VLMs for image classification, object detection, scene/semantic segmentation, keypoint detection, CLIP/similar similarity models.
Experience with models for multimodal synthetic data generation.
Experience with large deep‑learning model fine‑tuning and deployment.
Experience with prompt engineering and agentic AI design.
Solid understanding of Python and expertise in data‑science packages such as Numpy, Pandas, PyTorch, etc.
Advanced degree in computer science, statistics, data science, mathematics, or related discipline; PhD is a plus.
Publications in top ML/AI/NLP conferences (NeurIPS, ICML, EMNLP, ACL, ICLR, AAAI, IJCAI, CVPR, ICCV, ECCV, KDD, etc.) are a plus.
Demonstrated knowledge of programming languages, cloud technologies, Gen AI focus, DL frameworks: Java, Python, Bash, PyTorch, BigQuery, SQL, distributed training and inference frameworks, GPU MLOPS and CICD, FAISS, vector stores, agent SDKs.
Benefits Beyond our great compensation package, you can receive incentive awards for performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and more.
Equal Opportunity Employer 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 unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
Compensation The annual salary range for this position is $143,000.00 – $286,000.00. Additional compensation includes annual performance bonuses and stock.
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Develop and apply state‑of‑the‑art deep learning based generative models and multi‑modal models such as text, image, and video generation, and capture multimodal data relationships.
Proficient in evaluating trade‑offs between open source vs. Cloud APIs for multimodal Gen AI in terms of performance and cost efficiencies.
Work with large‑scale data and curate in‑house domain datasets from scratch.
Collaborate with Engineering teams to define interfaces, understand and resolve dependencies.
Standardize and build scalable and highly available systems that follow operational best practices.
Develop visuals and reports to efficiently communicate 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.
Qualifications
Expertise in working with deep‑learning based generative/multi‑modal models or similar research experience with deep‑learning/AI.
Experience with multimodal generative models for text, image, audio, and video generation.
Experience with VLMs for image classification, object detection, scene/semantic segmentation, keypoint detection, CLIP/similar similarity models.
Experience with models for multimodal synthetic data generation.
Experience with large deep‑learning model fine‑tuning and deployment.
Experience with prompt engineering and agentic AI design.
Solid understanding of Python and expertise in data‑science packages such as Numpy, Pandas, PyTorch, etc.
Advanced degree in computer science, statistics, data science, mathematics, or related discipline; PhD is a plus.
Publications in top ML/AI/NLP conferences (NeurIPS, ICML, EMNLP, ACL, ICLR, AAAI, IJCAI, CVPR, ICCV, ECCV, KDD, etc.) are a plus.
Demonstrated knowledge of programming languages, cloud technologies, Gen AI focus, DL frameworks: Java, Python, Bash, PyTorch, BigQuery, SQL, distributed training and inference frameworks, GPU MLOPS and CICD, FAISS, vector stores, agent SDKs.
Benefits Beyond our great compensation package, you can receive incentive awards for performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and more.
Equal Opportunity Employer 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 unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
Compensation The annual salary range for this position is $143,000.00 – $286,000.00. Additional compensation includes annual performance bonuses and stock.
#J-18808-Ljbffr