Machine Learning Scientist, New AI Products and Platforms

The New York Times•New York, NY

5d•$121,000 - $141,000•Hybrid

About The Position

The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products & Platforms mission. This team is building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations. The role involves joining a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across their products. The scientist will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. This work will enable teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote journalism and the business. The position reports to the Director, Machine Learning and is a hybrid remote/in-office role.

Requirements

PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline
2+ years experience with open source machine learning or statistical analysis tools
2+ years coding experience in Python
2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis
1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow

Nice To Haves

1+ years of experience with information retrieval or search systems
1+ years of experience translating ambiguous business questions into machine learning problems
1+ years of experience building data products, either internal or consumer-facing

Responsibilities

Design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
Fine-tune and evaluate language models for custom use cases and content enrichment.
Contribute to shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important.
Implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs.
Adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches.
Communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups.
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.