Manager, Data Science & Research

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Full job description

Lead a team of experienced Data Scientists with ~70% hands-on involvement. Develop content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps. Design and build models in computer vision, NLP, and multimodal pipelines. Manage full lifecycle from data selection, labeling strategy, training, evaluation to deployment. Develop efficient data curation and labeling strategies including active learning and auto-labeling. Improve model quality balancing precision/recall with cost, latency, and scale. Drive automation systems for labeling and retraining. Apply modern AI approaches including LLMs, embeddings, and foundation models. Collaborate with ML Engineering, Product, and Policy teams to translate requirements into scalable systems. Requirements include 3+ years leading ML teams, 6+ years hands-on ML/DL experience, strong background in computer vision and/or NLP, experience deploying production ML systems at scale, and proficiency with PyTorch, TensorFlow, scikit-learn, OpenCV, and HuggingFace.