Snr Applied Scientist
Core
Lead content-quality understanding at scale by designing and deploying models to assess credibility, safety, and diversity across modalities, while building human-in-the-loop pipelines and championing safety standards.
Role type
Senior Applied Scientist (Content Safety & Quality)
Builds
E2E ML systems for content integrity, safety, and trust across generative and curated experiences.
Domain
AI/ML, Content Safety, Natural Language Understanding
Deliverable
production ML models
Required skills
Natural language understanding, Python, deep learning frameworks (PyTorch/TensorFlow), evaluation & experimentation (A/B testing, bandits), ML model development lifecycle, statistics/predictive analytics, research
Preferred skills
LLMs (prompting, RAG, PEFT), multimodal modeling, retrieval-augmented recommendation, counterfactual learning, multi-objective optimization, content integrity/safety systems, cross-disciplinary leadership
Technologies
PyTorch, TensorFlow, Python
Responsibilities
Design and deploy models to assess credibility, usefulness, freshness, safety, and diversity; build human-in-the-loop and active-learning pipelines; partner with policy teams to encode safety standards into ML systems; scale E2E ML systems with engineering; define offline and online evaluation metrics; mentor and influence technical leadership.
Seniority
Senior, hands-on IC with technical leadership
