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Job Description
📋 Description Contribute to ML/LLM research for search, recommendation, and ranking tasks. Collect, analyze, and synthesize data to build data-driven models. Write clean, efficient, scalable code. Apply ML, NLP, and graph analysis to modeling and ranking across growth, discovery, ads, and search. Scope and independently solve moderately complex problems. 🎯 Requirements MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field. 6+ years of industry experience. Experience in machine learning or information retrieval. Mastery of at least one systems language (Java, C++, Python) or one ML framework (TensorFlow, PyTorch, MLflow). Experience in research and solving analytical problems. Cross-functional collaboration and strong communication. Comfortable solving ambiguous problems and adapting to a dynamic environment. 1-2 in-person collaboration trips per quarter; location nationwide. 🎁 Benefits Equity opportunities. Flexible/hybrid work options where applicable. Inclusive, diverse workplace culture. Opportunity to mentor and collaborate with world-class researchers. Professional development and learning opportunities.
