Senior Applied Machine Learning Scientist
Core
Lead applied research and development of advanced AI/ML systems powering next-generation journalism, including generative AI, search, retrieval, ranking, and reader experiences.
Role type
Senior Applied Machine Learning Scientist (Generative AI & Information Retrieval)
Builds
Intelligent systems for Ask The Post, semantic search, content understanding, ranking, and generative AI-powered reader experiences.
Domain
Media & Publishing / Generative AI & Information Retrieval
Deliverable
production ML models
Required skills
Applied machine learning, NLP, information retrieval, search, ranking, recommender systems, generative AI, experimental design, statistical analysis, Python, PyTorch/TensorFlow/JAX, large-scale dataset handling, model evaluation, agentic workflows, efficient model serving
Preferred skills
Transformer-based models, embedding models, LLMs, VLMs, retrieval-augmented generation, causal inference, learning-to-rank, reinforcement learning, multi-armed bandits, responsible AI, model calibration, deep learning, publications/patents, technical mentoring
Technologies
PyTorch, TensorFlow, JAX, AWS, GCP, Spark, Beam, BigQuery
Responsibilities
Lead applied R&D for AI/ML systems; formulate ambiguous challenges as scientific problems with clear metrics; design, train, evaluate, and deploy advanced models (LLMs, embeddings, VLMs, ranking); build AI-powered experiences; design rigorous offline/online evaluations; develop scalable production ML systems; analyze large-scale behavioral and content data; collaborate with scientists, engineers, and editors; provide technical leadership and mentorship.
Seniority
Senior, hands-on IC with mentorship responsibilities
