McDonald's · 2 months ago
Sr Manager, Data Engineering
McDonald's is one of the most recognized brands in the world, focusing on growth and customer satisfaction. They are seeking a Senior Manager in Data Engineering to scale their global data platform, develop machine learning pipelines, and collaborate with various teams to enhance operational insights and customer experience.
Restaurants
Responsibilities
Partner with product and business teams to define problems and translate them into data-driven solutions
Conduct exploratory data analysis (EDA) and extract actionable insights from structured and unstructured datasets
Develop, validate, and iterate on predictive models using techniques in supervised, unsupervised, and/or time series learning
Communicate modeling outcomes through clear visualizations and presentations to both technical and non-technical stakeholders
Design, build, and optimize end-to-end machine learning pipelines — from data ingestion and feature engineering to model training, evaluation, and deployment
Develop and maintain scalable ML infrastructure to support both batch and real-time inference
Build high-performing models for forecasting, prediction, recommendation, or intelligent automation, depending on business use cases
Collaborate with cross-functional teams to translate business problems into effective ML solutions
Conduct feature selection, model tuning, and performance optimization to ensure production-grade reliability and scalability
Implement monitoring, retraining, and evaluation strategies to maintain model quality over time
Explore and apply state-of-the-art ML/AI methods, including deep learning, generative AI, and agentic frameworks where applicable
Ensure best practices in ML engineering, including version control, CI/CD, MLOps, and documentation
Qualification
Required
Master's and plus degree in Computer Science, Engineering, Mathematics, or a related technical field (PhD is a plus)
5+ years of hands-on experience in machine learning, AI engineering, or related fields
Strong proficiency in Python and common ML libraries such as scikit-learn, TensorFlow, PyTorch
Solid understanding of ML concepts including feature engineering, model selection, hyperparameter tuning, and evaluation metrics
Experience building production-grade ML systems, including model serving and monitoring
Proficiency with modern MLOps tools (e.g., MLflow, Kubeflow, Airflow, CI/CD frameworks)
Experience with cloud platforms such as Google Cloud Platform, Amazon Web Services
Strong problem-solving skills and the ability to work independently on complex technical challenges
Preferred
Familiar with McDonald's business
Experience with time series forecasting, LLMs, or AI agent frameworks
Familiarity with distributed training and large-scale model deployment
Experience applying advanced techniques such as reinforcement learning, generative AI, or retrieval-augmented generation (RAG)
Contributions to open-source ML frameworks or research publications
Benefits
Health and welfare benefits
A 401(k) plan
Adoption assistance program
Educational assistance program
Flexible ways of working
Time off policies (including sick leave, parental leave, and vacation/PTO)
Bonus, calculated based on individual and company performance
Stock or other equity grants pursuant to McDonald’s long-term incentive plan
Company
McDonald's
McDonald’s is the world’s leading global foodservice retailer with over 37,000 locations in over 100 countries.
H1B Sponsorship
McDonald's has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (61)
2024 (77)
2023 (37)
2022 (31)
2021 (60)
2020 (12)
Funding
Current Stage
Late StageRecent News
2025-10-07
The Motley Fool
2025-10-07
Company data provided by crunchbase