As a Senior Machine Learning Engineer at McDonald’s, you will join the Enterprise Data and Analytics Architecture (EDAA) team to develop scalable ML/AI solutions that drive business impact. Your day-to-day responsibilities include partnering with product managers and data scientists to define problems, conducting exploratory data analysis, developing predictive models, and designing end-to-end machine learning pipelines from data ingestion to deployment. You will also build high-performing models for forecasting, prediction, and recommendation, ensuring they are production-ready through monitoring and retraining strategies. The role requires expertise in Python, TensorFlow, PyTorch, and MLOps tools like MLflow and Kubeflow, along with experience in cloud platforms such as Google Cloud Platform or AWS. Ideal candidates will have a background in machine learning engineering and a strong understanding of advanced techniques including deep learning and generative AI.
Skills
Python
scikit-learn
TensorFlow
PyTorch
MLOps
MLflow
Kubeflow
Airflow
CI/CD
Google Cloud Platform
Amazon Web Services
feature engineering
hyperparameter tuning
model serving
monitoring
time series forecasting
reinforcement learning
generative AI
RAG
What you'll do
Develop and validate predictive models using various machine learning techniques.
Design and optimize end-to-end ML pipelines for data ingestion to deployment.
Build scalable ML infrastructure supporting both batch and real-time inference.
Conduct exploratory data analysis to extract actionable insights from datasets.
Implement monitoring strategies to maintain model quality over time.
What we're looking for
Master’s degree in Computer Science, Engineering, Mathematics, or related field.
5+ years of hands-on experience in machine learning and AI engineering.
Strong proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch.
Experience building production-grade ML systems with model serving and monitoring.
Proficiency with MLOps tools such as MLflow, Kubeflow, Airflow, CI/CD frameworks.
Solid understanding of ML concepts including feature engineering and hyperparameter tuning.
Market check
Salary context
This
$167,366–$209,207
range sits above
30%
of similar postings on FindRole.
Peer median band
$167,683–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$177,762–$250,000
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About McDonald’s Corporation
McDonald’s Corporation is the world's largest fast-food chain by revenue, operating over 40,000 locations in more than 100 countries.
McDonald’s Corporation currently has
60 open roles
on FindRole.
Listed pay typically runs
$138,207–$172,758
across 57 roles with salary data.