Instacart logo
Instacart
Posted 26 days agoVerified live 14h ago

Senior Machine Learning Engineer, Operations Research

Brief overview

Remote
MastersOr in progress
$173k–$182k/yrStated range
3+ yrsMinimum
363 H-1B approvalsDept. of Labor
Operations ResearchIndustrial EngineeringMachine LearningPythonSQLPandasscikit-learnXGBoostKerasTensorFlow

About the company

Instacart logo
Instacartinstacart.com

Grocery delivery platform connecting retailers and customers through technology.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
363H-1B approved
99%approval rate
51new H-1B hires
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202398
2024143
2025109
202613

Job description

Summary

Instacart is transforming the grocery industry by providing essential services for grocery delivery. The Senior Machine Learning Engineer will work on high-impact problems in fulfillment, collaborating with various teams to develop machine learning solutions that enhance operational efficiency and shopper experience.

Responsibilities

  • Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace
  • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models

Skills

  • Have a graduate degree (masters or PhD) in Operations Research or Industrial Engineering
  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels
  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems

Qualifications

Must Haves

  • Have a graduate degree (masters or PhD) in Operations Research or Industrial Engineering
  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels

Nice to Haves

  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems

Benefits

  • Eligible for a new hire equity grant
  • Annual refresh grants

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