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Machine learning engineer

FetchJobs.co

midpermanentbackenddata United States 79 days ago via LinkedIn

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Tags

Machine LearningPythonJavaTensorFlowPyTorchscikit-learnAWSGCPAzureFeature Engineering

About the role

Role Overview

As a Machine Learning Engineer at Instacart, you’ll shape marketplace systems by building intelligent solutions that improve platform efficiency, personalization, and user experience. You’ll partner with senior engineers, data scientists, and product managers to develop algorithms for delivery routing, product recommendations, and customer preference prediction.

Responsibilities

  • Design, develop, and deploy machine learning models to improve the Instacart platform
  • Collaborate cross-functionally to identify opportunities for automation and optimization
  • Translate business requirements into technical ML solutions
  • Perform data preprocessing, feature engineering, and model evaluation to ensure accuracy and performance
  • Monitor and maintain deployed models; make iterative improvements using real-world feedback
  • Contribute to scalable ML pipelines and support integration of AI solutions into existing infrastructure
  • Share knowledge and mentor junior team members

Requirements

  • Strong background in machine learning / data science (B.S. required; M.S. or Ph.D. preferred)
  • Proven experience developing and deploying ML models in production
  • Proficiency in Python or Java
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with cloud platforms: AWS, Google Cloud, or Azure
  • Experience working with large-scale datasets
  • Strong problem-solving, communication, and collaboration skills

Nice to Haves

  • Advanced degree (M.S. or Ph.D.)
  • Additional depth in large-scale data and production ML systems

About FetchJobs.co

Instacart is a technology company dedicated to transforming grocery shopping and delivery through innovative marketplace solutions. Its mission is to make grocery shopping effortless and accessible, using app experiences and a network of personal shoppers. The company emphasizes data-driven insights and cutting-edge technology to improve personalization and efficiency at scale.

Scraped 7/7/2026