Machine Learning Scientist, New AI Products and Platforms
Core
Designing and training embedding models and fine-tuning language models to power reader-facing AI experiences and content enrichment for The New York Times.
Role type
Machine Learning Scientist (AI Products & Platforms)
Builds
Reader-facing AI experiences, embedding models, and fine-tuned language models for content enrichment.
Domain
Media / Natural Language Processing / Information Retrieval
Deliverable
production ML models
Required skills
representation learning, transformer encoders, Two Tower architectures, language model fine-tuning, evaluation, deep learning, PyTorch, TensorFlow, Python, SQL, large dataset manipulation
Preferred skills
information retrieval, search systems, translating business questions to ML problems, building data products
Technologies
PyTorch, TensorFlow, transformer encoders, Two Tower architectures
Responsibilities
Design and train embedding models for representation learning; Fine-tune and evaluate language models for custom use cases; Contribute to shared practices around evaluation and responsible AI use; Implement and deploy ML/AI research with robustness and reproducibility; Adapt or develop ML/AI algorithms when existing techniques are insufficient; Communicate complex ML ideas while collaborating with engineering, product, and editorial teams.
Seniority
Mid-level IC (2+ years experience)
