Lead Machine Learning Scientist, New AI Products and Platforms

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries.

It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for.

About The Role

I. Products Platforms mission. I.

experiences for one of the world's most trusted news organizations. 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.

Responsibilities

: You will lead the design and training of embedding models for representation learning, for example using transformer encoders and Two Tower architectures. 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.

Qualifications

: 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, graph neural networks, 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

Preferred Qualifications

: PhD or Master's research experience in Applied AI 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 REQ-020336 The annual

Base Pay Range

for this role is between: $166,000 $205,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus