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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning Scientist - **Company:** New York Times - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $166,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Code Review, Data Cleansing, Information Retrieval, Python (Programming Language), Machine Learning, Language Modeling, Feature Engineering, Large Language Models, Deep Learning, Model Validation, Information Technology - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=49a23f2765794647 ## About the Role * PhD plus 4+ years experience, or 7+ years experience, in machine learning, statistics, computer science, computational social science, or another quantitative/computational discipline * 4+ years of experience in creatively reframing our challenges as Machine Learning tasks * 4+ years of experience with data cleaning, preparation, feature engineering, and model selection techniques * 2+ years of experience coding and deploying in production environments using Python, developing and deploying complex algorithms that are integrated into company process * 2+ years of experience building production systems that use LLMs, vision-language models, embeddings, or other deep learning models to solve user-facing problems. * 1+ years of experience mentoring peers or junior ML scientists through pairing and algorithm, model, and code review, * 1+ years of experience with information retrieval or search systems * 2+ years of experience collaborating cross-functionally with product managers and software engineers * 2+ years of experience scoping and staging work into well-defined milestones and delivering on communicated timelines ## Description You will provide technical leadership to a team of ML scientists developing embedding models and semantic retrieval algorithms to power new A.I. experiences across our products. Your work will allow teams across the company to build, deploy, and manage applications that use large language models to promote our journalism and our business. Your team will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role., * You will lead the design and training of embedding models for representation learning, for example using transformer encoders and Two Tower architectures. * You will lead the fine-tuning and evaluation of language models for custom use cases and content enrichment. * You will productionalize embedding models and language models while working closely with engineering teams, to integrate ML and AI into user-facing products throughout The Times * You will help to define shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important * You will identify novel project opportunities to solve critical problems and act on those proposals * You will scope ongoing product improvements, prioritizing requests from your team * You will build and facilitate relationships across the organization to ensure you meet our projects' goals. * 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 - [Inside the Mind of an LLM](https://www.wearedevelopers.com/videos/1617-inside-the-mind-of-an-llm) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Are Code Reviews Worth It? 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