Senior Machine Learning Engineer, Operations Research
Senior ML Engineer applies operations research, combinatorial optimization, and AI to solve logistics challenges like order batching, shopper routing, and real-time assignment. Requires master's/PhD in OR/Industrial Engineering, 3+ years ML experience with Python, SQL, and ML frameworks.
About the job
About the Job
- Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
- Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
- Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
About You
Minimum Qualifications
- Have a graduate degree (masters or PhD) in Operations Research or Industrial Engineering
- 3+ years of industry experience using machine learning to solve real-world problems with large datasets
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
- Have strong analytical skills and problem-solving ability
- Are a strong communicator who can collaborate with diverse stakeholders across all levels
Preferred Qualifications
- Knowledge of deep learning frameworks and methodologies
- Experience in applying machine learning and optimization techniques to solve marketplace problems
Skills
Python, SQL, pandas, scikit-learn, Xgboost, TensorFlow, Keras, Operations Research, Combinatorial Optimization, Mathematical Programming
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