Geared toward candidates comfortable with AI and investigative journalism, and who can balance in-office work with cross-departmental collaboration in New York.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Thenewyorktimes via Greenhouse
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.
Join the 2027 New York Times Fellowship class as an A.I. Initiatives fellow in New York.
We are looking for a fellow who will bring a mix of machine-learning and journalism experience to newsroom reporting projects. You will work with journalists across departments to identify, develop and execute projects that use the power of artificial intelligence, machine learning and data science techniques to address investigative challenges. You will be part of the A.I. Initiatives team, which includes editors, engineers and a product designer.
This is an in-office position and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. You may be required to work some nights, weekends and holidays as needed.
Responsibilities:
Collaborate with investigative reporters to support projects that benefit from A.I., including large-scale research, transcription, translation, document search, language analysis and computer vision tasks
Identify opportunities and experiment with responsible A.I. tools to empower the newsroom
Participate in training and social programs designed for the fellowship
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
Basic Qualifications:
No more than five years of full-time, professional experience in journalism and/or machine learning
Technical proficiency and experience analyzing data, developing applications and conducting research with machine-learning models
Editorial experience, such as interning in a newsroom or working on a college newspaper
Engineering skills and experience with APIs, front-end web applications and databases
Recent experience working with LLMs and other machine-learning models
Interest in the intersection of journalism and artificial intelligence
Understanding of ethical considerations surrounding the use of A.I. in journalism
Preferred Qualifications:
Record of multiple news or opinion journalism internships, or equivalent experience
Work demonstrating experience applying A.I. to real-world problems
Experience working with large datasets and cloud computing platforms
Experience working with Svelte or similar front-end frameworks
To apply, upload a résumé and cover letter. The application will prompt you when to upload materials. Applications that fail to include any of these materials or follow these instructions will not be considered.
You must be authorized to work in the United States. We will not sponsor work visas for the fellowship, but we will consider applicants with valid work authorization or a valid student visa that can be extended with Optional Practical Training.
You may apply to only one fellowship position per year. For instance, if you apply as an A.I. Initiatives fellow, you should not apply for any other positions in the fellowship. Duplicate applications will be discarded.
The application deadline is 5 p.m. Eastern Standard Time on Nov. 20.
The Times Fellowship generates a high level of interest, so we cannot acknowledge the status of every application upon receipt or during the vetting process, which can take eight weeks or more. We cannot accept applications that are mailed or emailed to us. We will contact you for interviews as needed.
The fellowship program will begin on or about June 7, 2027, and end on May 26, 2028, subject to satisfactory performance. There is no guarantee of a full-time position upon completion of the program.
For more information about the Times Fellowship, visit here.
This position is represented by the NewsGuild of New York.
REQ-020749
Additional Compensation and Benefits:
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, employee stock purchase 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.
The annual base pay range for this role is between:$82,414.80—$82,414.80 USDCandidate Use of GenAI Tools:
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.
The New York Times Company is committed to being the world’s best source of 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.
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here.
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