Walmart - Sunnyvale, CA

posted 2 months ago

Full-time - Mid Level
Sunnyvale, CA
General Merchandise Retailers

About the position

As a member of the machine learning platform team at Walmart Global Tech, you will play a crucial role in developing data-driven models and services that enhance the efficiency and effectiveness of Walmart's e-commerce operations. Your primary focus will be on creating high-quality demand from various digital platforms, including Google, Bing, Facebook, and Pinterest, to drive growth in Walmart's e-commerce sector. This involves not only building robust machine learning models but also implementing customer-centric retention solutions that foster loyalty among Walmart's omni-channel customers. In this position, you will be responsible for building and maintaining a scalable machine learning platform that encompasses the entire machine learning operations lifecycle. This includes developing, versioning, and deploying machine learning models, as well as creating and maintaining web-based dashboard systems that provide visual insights from large datasets. You will also be tasked with monitoring machine learning models and evaluating their performance through A/B testing. Additionally, you will develop and deploy big-data pipelines and machine learning pipelines, ensuring efficient ingestion, productionization, and visualization of data. As a Tech Lead, you will oversee the backend services for the end-to-end machine learning platform, managing public cloud services and utilizing tools and resources in Google Cloud Platform to optimize storage and computation. Your expertise in programming languages, data structures, and big-data techniques will be essential in driving the success of the team and the projects you undertake.

Responsibilities

  • Build and maintain a robust, scalable machine learning platform for end-to-end machine learning operations.
  • Develop, deploy, and maintain high-quality web-based dashboard systems for visual insights.
  • Monitor machine learning models and evaluate their performance through A/B testing.
  • Develop and deploy big-data pipelines and machine learning pipelines from ingestion to visualization.
  • Build and deploy scalable machine learning API services.
  • Manage public cloud services and utilize tools in Google Cloud Platform efficiently.

Requirements

  • Proficiency in at least one programming language (Python, Java, C++, JavaScript).
  • Good understanding of data structures and algorithms.
  • Strong knowledge and experience in big-data techniques (Spark, Hive, Spark-SQL, NoSQL, Big Query).
  • Knowledge and experience in Linux and public cloud computing.
  • Experience with Docker and Kubernetes.
  • Experience in REST API service development.
  • Experience in machine learning operations and model serving platform is a plus.

Nice-to-haves

  • Data science and machine learning experience.
  • Experience with optimization models.
  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
  • Successful completion of assessments in Python, Spark, Scala, or R.
  • Familiarity with open source frameworks (e.g., scikit-learn, TensorFlow, Torch).

Benefits

  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • Paid time off (PTO)
  • Multiple health plans
  • Short-term and long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • Live Better U education benefit program covering tuition, books, and fees.
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