Applied Machine Learning Scientist 2
Core
Build AI/ML systems for personalization, recommendations, ranking, user modeling, and generative AI-powered discovery to help readers discover and engage with journalism.
Role type
Senior Applied Machine Learning Scientist (Recommendation & GenAI)
Builds
For You homepage, article recommendations, related content, real-time user modeling, and intelligent discovery experiences.
Domain
News & Media / Personalization & Recommender Systems
Deliverable
production ML models
Required skills
Applied machine learning, Python, PyTorch/TensorFlow/JAX, large-scale data processing, statistical analysis, experimental design, ranking algorithms, NLP, generative AI
Preferred skills
Transformer-based models, embedding generation, two-tower architectures, LLMs, VLMs, AWS/GCP/Spark/BigQuery, offline/online evaluation, model deployment & monitoring, responsible AI practices
Technologies
PyTorch, TensorFlow, JAX, AWS, GCP, Spark, Beam, BigQuery, LLMs, VLMs
Responsibilities
Design, train, evaluate, and deploy ML models for personalization and ranking; Build systems for real-time user modeling and content discovery; Apply modern techniques like transformers and LLMs for content understanding; Analyze large-scale behavioral and interaction datasets; Design and execute A/B tests and causal analysis; Collaborate with cross-functional teams to deliver scalable solutions.
Seniority
Senior, hands-on IC