Summary
Join The New York Times as a Senior Machine-Learning Engineer and contribute to cutting-edge AI initiatives within our renowned newsroom. You will build prototypes using machine learning to enhance internal workflows and reporting capabilities, developing new algorithms and fine-tuning large language models. Collaboration with the AI team and other newsroom departments is crucial to assess prototype value and determine which to pursue further. This role requires strong machine learning expertise, full-stack development skills, and experience in media. The position can be based in New York City or fully remote within the US. The New York Times is committed to a diverse and inclusive workforce.
Requirements
- 4+ years of software-engineering experience
- 2+ years of developing applications with machine-learning models
- Experience in a newsroom or collaborating with journalists or other creative professionals on software development
- Technical proficiency and recent experience working with large-language and transformer models
- Deep knowledge of machine-learning frameworks
- Experience evaluating the strengths and weaknesses of different A.I. models
- Full-stack engineering skills for developing front-end web applications and agents with server-side components
Responsibilities
- Build prototypes that use machine-learning techniques for the betterment of The Times news report
- Develop new algorithms, fine-tuning large-language models, and create other infrastructure for the teamβs work
- Collaborate with the A.I. team and other desks in the newsroom to assess the value of each prototype and help determine those worth pursuing further
- Stay up-to-date on the latest A.I. research and model development, to help inform the teamβs work and spread technical proficiency throughout the organization
- Develop relationships with other technologists in the newsroom and on product teams, to learn from their existing work with A.I
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
Preferred Qualifications
- Experience fine-tuning machine-learning models at scale
- Advanced degree in computer science, data science, mathematics or a related field
Benefits
- Remote work option
- Annual base pay range between $140,000 β $155,000 USD
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