Lead Machine Learning Scientist

The mission [https://www.nytco.com/company/mission-and-values/] 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, Mission or Department Overview

The New York Times is hiring a Lead Machine Learning Scientist to join the New

A.I. Products & Platforms mission. We are a team building the next generation of

reader-facing A.I. experiences for one of the world's most trusted news

organizations.

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.

Responsibilities

• * 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 [https://www.nytco.com/company/mission-and-values/] and a strong
• commitment to our mission to seek the truth and help people understand the
• world.
• Basic

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, 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

Preferred Qualifications

• * 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 and restricted stock.

Benefits

may include medical,

dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a

company-matching 401(k) plan, paid vacation, paid sick days, paid parental

leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during

the interview process.

We’re excited to learn more about you and your experience. To keep our hiring

process as fair and authentic as possible, we ask that you submit your own work

and not use GenAI tools to generate substantive content during the application

and interview process.

If you’re an Engineering candidate, we’ll let you know what specific GenAI tools

you are permitted to use for your technical assessment.

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independent, reliable and quality journalism. To do so, we embrace a diverse

workforce that has a broad range of backgrounds and experiences across our

ranks, at all levels of the organization. We encourage people from all

backgrounds to apply.

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