עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
35,000-55,000 ₪
Join our companys Content Safety team as a Staff AI Scientist, where youll build the intelligent infrastructure that keeps our global platform secure. We're looking for a specialist to design and deploy production-grade GenAI solutions that moderate content at scale. From pioneering automated labeling workflows to securing AI-generated outputs, your work will define the safety standards for every product in the company portfolio.
Responsibilities
Architect Robust Moderation Systems: Lead the design and deployment of sophisticated, multi-modal content moderation engines to detect and mitigate abusive content across our companys diverse product ecosystem.
Drive LLM Strategy: Direct the fine-tuning and optimization of state-of-the-art Transformers and Large Language Models (LLMs), balancing high-precision accuracy with production-scale efficiency.
Pioneer Agentic Workflows: Research and integrate advanced GenAI patterns-including Retrieval-Augmented Generation (RAG) and Agentic AI-to revolutionize automated data labeling and complex classification taxonomies.
Cross-Functional Leadership: Partner closely with ML Engineers, Product Leads, and Policy Experts, to help ensure AI systems aren't only technically superior - but also ethically grounded and compliant with global safety standards.
Technical Evangelism and Research: Act as the teams North Star by staying at the bleeding edge of AI research, translating academic breakthroughs into practical, "production-first" content safety strategies.
Communication and Governance: Standardize high-quality documentation and model governance. You will translate complex technical architectures into clear, actionable insights for both executive stakeholders and technical peers.
Team Upskilling and Mentorship: Serve as a force multiplier by mentoring junior and senior scientists, conducting rigorous code/design reviews, and fostering a culture of technical excellence.
Responsibilities
Architect Robust Moderation Systems: Lead the design and deployment of sophisticated, multi-modal content moderation engines to detect and mitigate abusive content across our companys diverse product ecosystem.
Drive LLM Strategy: Direct the fine-tuning and optimization of state-of-the-art Transformers and Large Language Models (LLMs), balancing high-precision accuracy with production-scale efficiency.
Pioneer Agentic Workflows: Research and integrate advanced GenAI patterns-including Retrieval-Augmented Generation (RAG) and Agentic AI-to revolutionize automated data labeling and complex classification taxonomies.
Cross-Functional Leadership: Partner closely with ML Engineers, Product Leads, and Policy Experts, to help ensure AI systems aren't only technically superior - but also ethically grounded and compliant with global safety standards.
Technical Evangelism and Research: Act as the teams North Star by staying at the bleeding edge of AI research, translating academic breakthroughs into practical, "production-first" content safety strategies.
Communication and Governance: Standardize high-quality documentation and model governance. You will translate complex technical architectures into clear, actionable insights for both executive stakeholders and technical peers.
Team Upskilling and Mentorship: Serve as a force multiplier by mentoring junior and senior scientists, conducting rigorous code/design reviews, and fostering a culture of technical excellence.
Requirements:
Advanced Academic Background: PhD or MSc in a quantitative field (Computer Science, Statistics, Applied Math), or equivalent industry experience in high-complexity AI environments.
Proven Track Record: 5+ years of professional experience in Data Science or AI Research, with a history of delivering high-impact, production-grade models
Cloud Architecture: deep expertise in architecting AI solutions on major cloud platforms (AWS, GCP, or Azure), specifically leveraging managed ML services (e.g., SageMaker, Vertex AI).
Full-Stack ML Mastery: Mastery of Python and the modern AI stack (PyTorch, TensorFlow, Scikit-learn, Pandas). You should be comfortable designing distributed computing workflows and optimizing data pipelines for scale.
GenAI Expertise: strong hands-on experience with LLM orchestration (e.g., LangChain, LlamaIndex) and fine-tuning. You don't just use LLMs; you understand how to steer them effectively.
Safety & Alignment: a specialized focus on LLM security and safety frameworks.
Advanced Academic Background: PhD or MSc in a quantitative field (Computer Science, Statistics, Applied Math), or equivalent industry experience in high-complexity AI environments.
Proven Track Record: 5+ years of professional experience in Data Science or AI Research, with a history of delivering high-impact, production-grade models
Cloud Architecture: deep expertise in architecting AI solutions on major cloud platforms (AWS, GCP, or Azure), specifically leveraging managed ML services (e.g., SageMaker, Vertex AI).
Full-Stack ML Mastery: Mastery of Python and the modern AI stack (PyTorch, TensorFlow, Scikit-learn, Pandas). You should be comfortable designing distributed computing workflows and optimizing data pipelines for scale.
GenAI Expertise: strong hands-on experience with LLM orchestration (e.g., LangChain, LlamaIndex) and fine-tuning. You don't just use LLMs; you understand how to steer them effectively.
Safety & Alignment: a specialized focus on LLM security and safety frameworks.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
