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McDonald's · 2 months ago

Sr Manager, Data Engineering

Chicago, IL, US, 60607

Full-time

Onsite

Senior Level, Lead/Staff, Director/Executive

$167K/yr - $209K/yr

5+ years exp

McDonald’s is a global leader in the food service industry and a digital innovator reshaping how customers engage with our brand. The Senior Manager, Data Engineering will be responsible for designing, building, and deploying scalable ML/AI solutions, optimizing model performance, and collaborating with cross-functional teams to drive business impact.

Restaurants

H1B Sponsor Likely

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

Machine LearningPythonMLOps toolsCloud platformsDeep LearningFeature EngineeringModel OptimizationProblem-solvingCollaborationCommunication

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

Long-term incentive

Company

McDonald's

Glassdoor3.6

McDonald’s is the world’s leading global foodservice retailer with over 37,000 locations in over 100 countries.

Founded in 1955

Chicago, Illinois, US

10001+ employees

https://corporate.mcdonalds.com/

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)