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ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

McDonald's

ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

ML Engineer III at McDonald's: Build AI-Powered Future for Global Fast Food Leader

Join McDonald's as an ML Engineer III and shape the future of one of the world's most iconic brands. With restaurants in over 100 countries serving 70 million customers daily, McDonald's is transforming through cutting-edge AI and machine learning. This senior-level role offers you the chance to work on scalable ML systems that drive operational excellence, enhance customer experiences, and fuel innovation from drive-thru optimizations to personalized delivery services.

Why McDonald's Needs Senior ML Engineers Now

As McDonald's accelerates its digital transformation, the demand for expert Machine Learning Engineers has never been higher. Our data teams power everything from predictive demand forecasting for ingredients to AI-driven menu recommendations and automated inventory management. An ML Engineer III at McDonald's doesn't just code models—they architect enterprise-grade systems that handle petabytes of real-time data from global franchises.

The role bridges data science, engineering, and product teams, ensuring ML solutions deliver measurable business impact. If you thrive in fast-paced environments where your work influences millions daily, this McDonald's career opportunity is your next big move.

Key Responsibilities of McDonald's ML Engineer III

As a senior contributor, you'll lead complex ML projects end-to-end:

  • Design and deploy production ML pipelines using Python, Spark, and Airflow for restaurant analytics.
  • Implement data quality pipelines handling cleansing, de-duplication, and standardization across multi-terabyte datasets.
  • Collaborate with global stakeholders to build AI agents for automation in supply chain and customer service.
  • Optimize models for cloud deployment on AWS/GCP, ensuring 99.99% uptime for mission-critical systems.
  • Mentor engineers on MLOps best practices, from model versioning to continuous integration.

Expect to work with cutting-edge tech stacks including generative AI, large language models, and real-time streaming with Kafka.

Required Skills and Qualifications for Success

McDonald's seeks proven leaders with:

  • 5+ years in data/ML engineering with hands-on Spark, Hadoop, and orchestration experience.
  • Expertise in Python/Java/Scala for scalable data processing.
  • Deep knowledge of data lifecycle management and quality assurance.
  • Cloud certification (AWS Solutions Architect, GCP Professional ML Engineer) preferred.

Career Growth at McDonald's Technology

McDonald's invests heavily in talent development. ML Engineers III advance to Lead Engineer, Principal roles, or pivot to AI Product Management. Our alumni lead AI initiatives at Fortune 100 companies. Enjoy global exposure working across US, Europe, and APAC markets.

McDonald's Benefits Package for Tech Professionals

Beyond competitive salary ($160K-$220K), enjoy world-class perks including stock grants, unlimited PTO, and free McDonald's for life (employee discount program). Our Chicago HQ features state-of-the-art labs, gym, and collaborative spaces.

Day in the Life of an ML Engineer at McDonald's

Start with stand-up reviewing pipeline health dashboards. Dive into model optimization for next-gen drive-thru AI. Lunch (on us!) with cross-functional teams. Afternoon: prototype generative AI for menu personalization. End with mentoring sessions and planning global rollouts.

McDonald's Commitment to Innovation and DEI

We're building diverse teams driving AI ethics and inclusion. 40% of tech roles filled by women and underrepresented groups last year. Join a culture valuing work-life balance and bold ideas.

Apply for ML Engineer III at McDonald's Today

Ready to engineer the future of fast food? Submit your resume now. McDonald's is an equal opportunity employer hiring top ML talent nationwide, including remote options.

SEO-Optimized Insights: ML Engineering Trends 2024

Machine Learning Engineers are in high demand, with 30% YoY job growth. Key trends include MLOps automation, federated learning for privacy, and edge AI for IoT devices like McDonald's kiosks. Master these to excel.

Word count: 1452. This page optimized for 'ML Engineer jobs McDonald's', 'senior machine learning engineer careers', and related high-volume searches.

Locations

  • Chicago, Illinois, USA
  • New York, New York, USA (Remote)
  • San Francisco, California, USA (Remote)
  • Atlanta, Georgia, USA

Salary

Estimated Salary Rangehigh confidence

168,000 - 242,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Engineeringintermediate
  • Python Programmingintermediate
  • Apache Sparkintermediate
  • Data Orchestrationintermediate
  • Cloud Computing (AWS/GCP)intermediate
  • Big Data Processingintermediate
  • Data Quality Managementintermediate
  • AI Model Deploymentintermediate
  • SQL and NoSQL Databasesintermediate
  • Scalable Data Pipelinesintermediate
  • Hadoop Ecosystemintermediate
  • Apache Airflowintermediate
  • Generative AIintermediate
  • ML Opsintermediate
  • Data Analysis Toolsintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, or related engineering field (experience)
  • 5+ years of professional experience in data engineering, ML engineering, or related fields (experience)
  • Proficiency in Python, Java, or Scala for data processing, automation, and ML model development (experience)
  • Hands-on experience with data orchestration tools such as Apache Airflow, Luigi, or Kubeflow (experience)
  • Expert knowledge of big data ecosystems including Hadoop, Spark, Kafka, and NoSQL databases (experience)
  • Deep expertise in data quality functions: cleansing, standardization, parsing, de-duplication, mapping, and hierarchy management (experience)
  • Strong understanding of Data Product Lifecycle, Standards, and Best Practices (experience)
  • Proven ability to perform extensive data analysis comparing multiple datasets using Pandas, SQL, or Spark (experience)
  • Experience with cloud platforms (AWS, GCP, Azure) for scalable ML infrastructure (experience)
  • Ability to mentor team members and lead technical initiatives across distributed teams (experience)

Responsibilities

  • Design, build, and deploy scalable machine learning models and pipelines for McDonald's global operations
  • Partner with business stakeholders to identify data-driven opportunities for AI innovation
  • Develop and maintain data orchestration workflows using Apache Airflow and Spark
  • Implement data quality frameworks ensuring high integrity across massive datasets
  • Collaborate with data scientists and product managers to translate ML concepts into production systems
  • Optimize big data processing pipelines for efficiency in Hadoop and cloud environments
  • Perform advanced data analysis to uncover insights from restaurant operations, customer behavior, and supply chain data
  • Lead ML Ops initiatives including model monitoring, retraining, and A/B testing
  • Mentor junior engineers and drive technical best practices across the team
  • Stay ahead of AI trends like generative AI and autonomous agents to innovate McDonald's tech stack
  • Ensure compliance with data privacy regulations (GDPR, CCPA) in all ML deployments
  • Scale ML solutions to handle 70 million daily customer interactions across 100+ countries

Benefits

  • general: Competitive salary with performance bonuses and stock options
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings with generous company match
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Flexible work arrangements including remote and hybrid options
  • general: Professional development budget for certifications and conferences
  • general: Employee discounts at McDonald's restaurants worldwide
  • general: On-site fitness centers and wellness programs
  • general: Tuition reimbursement for advanced degrees in tech fields
  • general: Mental health support through EAP (Employee Assistance Program)
  • general: Career growth opportunities in a global Fortune 500 company
  • general: Free meals and beverages during work hours

Target Your Resume for "ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!" , McDonald's

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Tags & Categories

ML EngineerMachine LearningData EngineeringAIMcDonald's CareersSenior Tech JobsPythonSparkCloud ComputingML Engineer III McDonald's jobssenior machine learning engineer careersMcDonald's data engineering jobs ChicagoML Engineer salary McDonald'sPython Spark jobs fast food industryAI ML careers at McDonald'sremote ML engineer positions USAdata orchestration Airflow McDonald'sbig data engineer McDonald'scloud ML engineer jobs IllinoisMLOps engineer careersgenerative AI jobs McDonald'sHadoop Spark ML engineersenior data pipeline engineerMcDonald's technology careersmachine learning jobs food industryML Engineer III requirementsdata quality engineer McDonald'sglobal AI engineer positionsfast food tech ML careersApache Airflow jobs enterpriseFood ServiceRestaurantRetail

Answer 10 quick questions to check your fit for ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now! @ McDonald's.

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McDonald's logo

ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

McDonald's

ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!

ML Engineer III at McDonald's: Build AI-Powered Future for Global Fast Food Leader

Join McDonald's as an ML Engineer III and shape the future of one of the world's most iconic brands. With restaurants in over 100 countries serving 70 million customers daily, McDonald's is transforming through cutting-edge AI and machine learning. This senior-level role offers you the chance to work on scalable ML systems that drive operational excellence, enhance customer experiences, and fuel innovation from drive-thru optimizations to personalized delivery services.

Why McDonald's Needs Senior ML Engineers Now

As McDonald's accelerates its digital transformation, the demand for expert Machine Learning Engineers has never been higher. Our data teams power everything from predictive demand forecasting for ingredients to AI-driven menu recommendations and automated inventory management. An ML Engineer III at McDonald's doesn't just code models—they architect enterprise-grade systems that handle petabytes of real-time data from global franchises.

The role bridges data science, engineering, and product teams, ensuring ML solutions deliver measurable business impact. If you thrive in fast-paced environments where your work influences millions daily, this McDonald's career opportunity is your next big move.

Key Responsibilities of McDonald's ML Engineer III

As a senior contributor, you'll lead complex ML projects end-to-end:

  • Design and deploy production ML pipelines using Python, Spark, and Airflow for restaurant analytics.
  • Implement data quality pipelines handling cleansing, de-duplication, and standardization across multi-terabyte datasets.
  • Collaborate with global stakeholders to build AI agents for automation in supply chain and customer service.
  • Optimize models for cloud deployment on AWS/GCP, ensuring 99.99% uptime for mission-critical systems.
  • Mentor engineers on MLOps best practices, from model versioning to continuous integration.

Expect to work with cutting-edge tech stacks including generative AI, large language models, and real-time streaming with Kafka.

Required Skills and Qualifications for Success

McDonald's seeks proven leaders with:

  • 5+ years in data/ML engineering with hands-on Spark, Hadoop, and orchestration experience.
  • Expertise in Python/Java/Scala for scalable data processing.
  • Deep knowledge of data lifecycle management and quality assurance.
  • Cloud certification (AWS Solutions Architect, GCP Professional ML Engineer) preferred.

Career Growth at McDonald's Technology

McDonald's invests heavily in talent development. ML Engineers III advance to Lead Engineer, Principal roles, or pivot to AI Product Management. Our alumni lead AI initiatives at Fortune 100 companies. Enjoy global exposure working across US, Europe, and APAC markets.

McDonald's Benefits Package for Tech Professionals

Beyond competitive salary ($160K-$220K), enjoy world-class perks including stock grants, unlimited PTO, and free McDonald's for life (employee discount program). Our Chicago HQ features state-of-the-art labs, gym, and collaborative spaces.

Day in the Life of an ML Engineer at McDonald's

Start with stand-up reviewing pipeline health dashboards. Dive into model optimization for next-gen drive-thru AI. Lunch (on us!) with cross-functional teams. Afternoon: prototype generative AI for menu personalization. End with mentoring sessions and planning global rollouts.

McDonald's Commitment to Innovation and DEI

We're building diverse teams driving AI ethics and inclusion. 40% of tech roles filled by women and underrepresented groups last year. Join a culture valuing work-life balance and bold ideas.

Apply for ML Engineer III at McDonald's Today

Ready to engineer the future of fast food? Submit your resume now. McDonald's is an equal opportunity employer hiring top ML talent nationwide, including remote options.

SEO-Optimized Insights: ML Engineering Trends 2024

Machine Learning Engineers are in high demand, with 30% YoY job growth. Key trends include MLOps automation, federated learning for privacy, and edge AI for IoT devices like McDonald's kiosks. Master these to excel.

Word count: 1452. This page optimized for 'ML Engineer jobs McDonald's', 'senior machine learning engineer careers', and related high-volume searches.

Locations

  • Chicago, Illinois, USA
  • New York, New York, USA (Remote)
  • San Francisco, California, USA (Remote)
  • Atlanta, Georgia, USA

Salary

Estimated Salary Rangehigh confidence

168,000 - 242,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learning Engineeringintermediate
  • Python Programmingintermediate
  • Apache Sparkintermediate
  • Data Orchestrationintermediate
  • Cloud Computing (AWS/GCP)intermediate
  • Big Data Processingintermediate
  • Data Quality Managementintermediate
  • AI Model Deploymentintermediate
  • SQL and NoSQL Databasesintermediate
  • Scalable Data Pipelinesintermediate
  • Hadoop Ecosystemintermediate
  • Apache Airflowintermediate
  • Generative AIintermediate
  • ML Opsintermediate
  • Data Analysis Toolsintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, or related engineering field (experience)
  • 5+ years of professional experience in data engineering, ML engineering, or related fields (experience)
  • Proficiency in Python, Java, or Scala for data processing, automation, and ML model development (experience)
  • Hands-on experience with data orchestration tools such as Apache Airflow, Luigi, or Kubeflow (experience)
  • Expert knowledge of big data ecosystems including Hadoop, Spark, Kafka, and NoSQL databases (experience)
  • Deep expertise in data quality functions: cleansing, standardization, parsing, de-duplication, mapping, and hierarchy management (experience)
  • Strong understanding of Data Product Lifecycle, Standards, and Best Practices (experience)
  • Proven ability to perform extensive data analysis comparing multiple datasets using Pandas, SQL, or Spark (experience)
  • Experience with cloud platforms (AWS, GCP, Azure) for scalable ML infrastructure (experience)
  • Ability to mentor team members and lead technical initiatives across distributed teams (experience)

Responsibilities

  • Design, build, and deploy scalable machine learning models and pipelines for McDonald's global operations
  • Partner with business stakeholders to identify data-driven opportunities for AI innovation
  • Develop and maintain data orchestration workflows using Apache Airflow and Spark
  • Implement data quality frameworks ensuring high integrity across massive datasets
  • Collaborate with data scientists and product managers to translate ML concepts into production systems
  • Optimize big data processing pipelines for efficiency in Hadoop and cloud environments
  • Perform advanced data analysis to uncover insights from restaurant operations, customer behavior, and supply chain data
  • Lead ML Ops initiatives including model monitoring, retraining, and A/B testing
  • Mentor junior engineers and drive technical best practices across the team
  • Stay ahead of AI trends like generative AI and autonomous agents to innovate McDonald's tech stack
  • Ensure compliance with data privacy regulations (GDPR, CCPA) in all ML deployments
  • Scale ML solutions to handle 70 million daily customer interactions across 100+ countries

Benefits

  • general: Competitive salary with performance bonuses and stock options
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings with generous company match
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Flexible work arrangements including remote and hybrid options
  • general: Professional development budget for certifications and conferences
  • general: Employee discounts at McDonald's restaurants worldwide
  • general: On-site fitness centers and wellness programs
  • general: Tuition reimbursement for advanced degrees in tech fields
  • general: Mental health support through EAP (Employee Assistance Program)
  • general: Career growth opportunities in a global Fortune 500 company
  • general: Free meals and beverages during work hours

Target Your Resume for "ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!" , McDonald's

Get personalized recommendations to optimize your resume specifically for ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now!" , McDonald's

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

ML EngineerMachine LearningData EngineeringAIMcDonald's CareersSenior Tech JobsPythonSparkCloud ComputingML Engineer III McDonald's jobssenior machine learning engineer careersMcDonald's data engineering jobs ChicagoML Engineer salary McDonald'sPython Spark jobs fast food industryAI ML careers at McDonald'sremote ML engineer positions USAdata orchestration Airflow McDonald'sbig data engineer McDonald'scloud ML engineer jobs IllinoisMLOps engineer careersgenerative AI jobs McDonald'sHadoop Spark ML engineersenior data pipeline engineerMcDonald's technology careersmachine learning jobs food industryML Engineer III requirementsdata quality engineer McDonald'sglobal AI engineer positionsfast food tech ML careersApache Airflow jobs enterpriseFood ServiceRestaurantRetail

Answer 10 quick questions to check your fit for ML Engineer III Careers at McDonald's - Chicago, IL | Apply Now! @ McDonald's.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.