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As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with Ads teams, optimize data storage using columnar formats, leverage technologies like Scala and Spark, and work with AWS services to ensure data integrity and efficiency while mentoring junior engineers.
As a Senior Data Scientist at Grubhub, you'll lead efforts in creating scalable experimentation processes, design and evaluate experiments, support data-driven decision-making, and act as a thought leader in experimentation methodologies while collaborating with multiple teams.
Seeking a curious and results-oriented Data Scientist II to work on providing high quality merchant recommendations and ads. Responsibilities include optimizing user experience, collaborating with product and engineering teams, and analyzing the interplay between ads and organic content to improve business performance.
As a Senior Data Engineer, you will improve Grubhub's big data and machine learning pipelines, delivering data products while collaborating with data scientists and analysts. Responsibilities include managing high-volume data processing using Spark and AWS technologies, maintaining technical documentation, and applying data engineering best practices.
The Machine Learning Infra Engineer will bridge the gap between data science and production systems by optimizing models for runtime performance, designing scalable MLOps pipelines, and implementing monitoring frameworks. They will work closely with data scientists to improve workflows and ensure reliability across the system, while also developing data versioning and deployment strategies.
As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and develop scalable MLOps pipelines, oversee monorepo management, implement monitoring frameworks, drive platform improvements, enhance engineering standards, and establish processes for data lineage and model management.
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