Manager, Data Science & Research (AI/ML)

TL;DR

Manager, Data Science & Research (AI/ML): Lead development of content classification systems across social platforms, web, and apps with an accent on computer vision, NLP, and multimodal pipelines. Focus on owning full ML lifecycle from data curation to deployment, improving model quality under strict latency and cost constraints, and applying modern AI approaches like LLMs and foundation models.

Location: Hybrid in Tel Aviv, Israel

Company

Leader in digital performance solutions providing unbiased third-party data and analytics to verify, optimize, and prove the quality and effectiveness of digital advertising campaigns.

What you will do

• Lead a team of data scientists (~70% hands-on) while owning technical direction and execution on core high-scale systems.
• Design and build models for computer vision, NLP, and multimodal pipelines across Meta, TikTok, YouTube, web, and apps.
• Own full ML lifecycle: data selection, labeling strategies, training, evaluation, and deployment with active learning and auto-labeling.
• Improve precision/recall balancing cost, latency, and scale; drive automation for retraining loops.
• Apply LLMs, embeddings, and foundation models to production problems.
• Mentor senior data scientists and collaborate with ML Engineering, Product, and Policy teams.

Requirements

• 3+ years leading Data Science/ML teams
• 6+ years hands-on ML/Deep Learning experience
• Strong background in Computer Vision and/or NLP
• Experience building and deploying production ML systems at scale
• Understanding of trade-offs in accuracy, cost, latency
• Hands-on with PyTorch/TensorFlow, scikit-learn, OpenCV, HuggingFace
• Experience with large datasets and model evaluation pipelines

Nice to have

• Experience with multimodal systems (vision + text + audio)
• LLMs, embeddings, foundation models
• AutoML, active learning, data-centric AI