Google Cloud PlatformMLMLOpsData EngineeringAnalyticsBusiness IntelligenceDatabricksGCPGoogle Cloud
About this role
Role Overview
Design, build, deploy, and monitor embedding-based classification models that align external product signals to the Walmart merchandising hierarchy.
Develop GMV distribution normalization and projection models that reconcile heterogeneous internal and external GMV signals.
Build causal impact models that quantify market-share movement from merchandising actions.
Engineer for production from day one on Databricks (on GCP).
Establish the MLOps foundations the ROM platform will live on.
Own the end-to-end ML lifecycle for every model you put in production.
Requirements
Bachelor’s degree in Computer Science and 5 years' experience in software engineering or related field.
7 years’ experience in software engineering or related field.
Master's degree in Computer Science and 3 years' experience in software engineering or related field.
4 years' experience in data engineering, database engineering, business intelligence, or business analytics.
1 year’s supervisory experience.
Tech Stack
Google Cloud Platform
Benefits
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U education benefit program for full-time and part-time associates.