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 apps
Design and build models across computer vision, NLP, and multimodal pipelines
Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment
Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)
Improve model quality (precision/recall) while balancing cost, latency, and scale
Drive automation systems (auto-labeling, auto-curation, retraining loops)
Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems
Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward
Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems
Requirements: 3+ years of experience leading Data Science / ML teams
6+ years of hands-on experience in Machine Learning / Deep Learning
Strong background in Computer Vision and/or NLP
Experience building and deploying production ML systems at scale
Strong 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 pipelines
This position is open to all candidates.