Manager, Data Science & Research

we are looking for a Manager, Data Science & Research.What will you do:Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and appsDesign and build models across computer vision, NLP, and multimodal pipelinesOwn the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deploymentDevelop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)Improve model quality (precision/recall) while balancing cost, latency, and scaleDrive automation systems (auto-labeling, auto-curation, retraining loops)Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problemsLead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forwardWork closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systemsRequirements: 3 years of experience leading Data Science / ML teams6 years of hands-on experience in Machine Learning / Deep LearningStrong background in Computer Vision and/or NLPExperience building and deploying production ML systems at scaleStrong understanding of real-world trade-offs (accuracy, cost, latency)Technical requirements:Hands-on experience with deep learning frameworks (PyTorch / TensorFlow)Experience with ML/DS tools (scikit-learn, OpenCV, HuggingFace, etc.)Experience working with large datasets and model evaluation pipelinesThis position is open to all candidates.