ML Engineer III

McDonald's Corporation • Chicago, IL

14d

About The Position

McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. As the global leader in the food service industry, our legacy of innovation and hard work continues to drive us.
From drive thru updates to delivery to mobile order and pay, we are innovating quickly and growing. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.

Department OverviewCompany Description
McDonald’s is a global leader in the food service industry, committed to innovation, customer experience, and operational excellence. As we advance our digital and data capabilities, we are building a best-in-class team to power data-driven decisions at scale across all markets.
The Opportunity
We are seeking a strategic and customer-centric Product Manager to lead the design and delivery of our Machine Learning and AI Agent products. In this role, you will act as the bridge between business stakeholders, product design, and technical teams to translate business needs into scalable AI solutions. Your work will shape the way AI empowers decision-making, automation, and customer experiences across the organization.Duties

Requirements

• Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
• 5+ years of professional experience in data engineering or related fields
• Proficiency in Python, Java, or Scala for data processing and automation
• Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
• Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
• Deep understanding of Data Product Lifecycle, Standards and Practices
• Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
• Proven ability to mentor team members and lead technical initiatives across multiple workstreams
• Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
• Demonstrated experience in data management & data governance capabilities
• Familiarity with data warehousing principles and best practices.
• Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
• Excellent collaboration skills to work effectively in cross-functional teams.

Responsibilities

• Partner closely with business stakeholders to deeply understand user pain points, operational challenges, and strategic objectives.
• Define clear product strategies and roadmaps that align AI capabilities with business goals.
• Lead end-to-end product design — including user journey mapping, workflow design, feature definition, and prioritization.
• Translate complex AI/ML concepts into simple, actionable product requirements and use cases.
• Collaborate with data science, ML engineer, and UX teams to ensure solutions are both technically feasible and business relevant.
• Facilitate effective communication between business and technical teams to ensure alignment on priorities, timelines, and success metrics.
• Define and track key product metrics to evaluate impact and guide iteration.
• Stay informed on emerging trends in AI agents, generative AI, and ML applications to inspire innovative product solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level