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Machine Learning Engineer Graduate (E-Commerce Recommendation Video) - 2027 Start
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Education
- Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline; candidates may be completing the degree or have recently completed it.
About the job
Develops and deploys machine-learning models for personalized e-commerce video recommendations, evaluating their performance and scaling them for production.
What you'll do
- Develop and deploy ML models for personalized e-commerce recommendations.
- Collaborate with product, infrastructure, and data teams to turn business goals into technical solutions.
- Evaluate models through offline and online (A/B) testing, and focus on scalable, robust, production-quality deployment.
What they ask for
- Completing or recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related discipline.
- Proficient coding skills in Python and hands-on experience with TensorFlow or PyTorch.
- Demonstrated ability to conduct rigorous research and analyze large-scale data.
- Strong problem-solving skills and a high sense of ownership.
Nice to have
- Publications in top-tier ML/AI conferences, or experience with recommendation systems, retrieval models, or multi-modal learning.
- Familiarity with real-time, scalable ML systems in production, or a background in e-commerce or applied AI research.
Tools
Python, TensorFlow, PyTorch
AI focus
Applies machine learning to e-commerce recommendations and explores LLMs and generative AI to transform retrieval, ranking, and user-item interactions.
Model-written summary · the original posting is authoritative