The New York Times
Machine Learning Scientist, New AI Products and Platforms
About this role
The New York Times is seeking a Machine Learning Scientist to develop embedding models and retrieval algorithms that power AI-driven reader experiences. You'll design and fine-tune language models, implement responsible AI practices, and collaborate across engineering, product, and editorial teams to advance the organization's journalism mission.
What you'll do
- Design and train embedding models using transformer encoders and Two Tower architectures for representation learning
- Fine-tune and evaluate language models for custom use cases and content enrichment
- Implement and deploy ML/AI research with focus on robustness, reproducibility, and risk assessment
- Contribute to evaluation frameworks and responsible AI practices aligned with journalistic independence
- Adapt or develop novel ML algorithms when existing techniques are insufficient
- Communicate complex ML/AI concepts to cross-functional teams including engineering, product, editorial, and leadership
What they're looking for
- Python (2+ years)
- Deep learning frameworks (PyTorch or TensorFlow)
- Embedding models and fine-tuning techniques
- SQL and large dataset manipulation
- Open source ML and statistical tools
- Information retrieval and search systems
- Problem translation from business to ML
- Data product development
Benefits
- Medical, dental, and vision coverage
- Flexible Spending Accounts (FSAs)
- Company-matching 401(k) plan
- Paid vacation
- Annual bonus and restricted stock eligibility
- Hybrid remote/in-office arrangement
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
The New York Times
The New York Times builds digital platforms and products that deliver journalism through web, mobile, and multimedia experiences, supported by modern backend systems and AI-enhanced tools. The company is hiring software engineers, QA engineers, and full-stack developers to work across content management, audio/video features, AI-driven reader experiences, and internal developer tooling.
- Website
- nytimes.com
Likely interview questions
- Tell us about a time you designed and trained an embedding model—what architecture did you choose and why?
- How have you approached fine-tuning language models for specific downstream tasks, and what evaluation metrics did you use?