Machine Learning Engineer, New Grad
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Role details
Tech stack
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Job description
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Develop and evaluate machine-learning models for search and recommendations
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Prepare and analyze datasets for model training and evaluation
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Build data and model evaluation pipelines
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Experiment with ranking, classification, NLP, and personalization techniques
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Monitor model quality and investigate performance issues
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Collaborate with AI engineers, software engineers, data scientists, and product teams
Requirements
Required
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Recent graduate or graduating soon in Machine Learning, Computer Science, Statistics, Mathematics, or a related field
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Strong Python programming skills
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Understanding of supervised learning, model evaluation, and statistics
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Familiarity with NumPy, pandas, and scikit-learn or similar tools
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Ability to work with data and communicate technical findings clearly
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Ability to work remotely
Preferred
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Experience with PyTorch, TensorFlow, or deep learning
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Familiarity with recommendation systems, search, ranking, or NLP
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Experience with LLMs, embeddings, or retrieval systems
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Knowledge of MLOps, model monitoring, or cloud platforms
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Previous research, internship, or machine-learning project experience
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