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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Scientist, New AI Products and Platforms - **Company:** New York Times - **Location:** New York, NY, United States - **Salary:** $121,000.0 - $141,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Information Retrieval, Python (Programming Language), Machine Learning, Language Modeling, Open Source Technology, Performance Tuning, Tensorflow, SQL Databases, Unstructured Data, Pytorch, Large Language Models, Deep Learning, Statistics Packages - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a6db308044f61ae2 ## About the Role * 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, * 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 ## Description You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role., * You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures. * You will fine-tune and evaluate language models for custom use cases and content enrichment. * You will contribute to shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important * You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs * You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches * You will 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., Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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