Senior Software Engineer, Machine Learning Platform

Company: The New York Times
Location: New York City
Posted on: April 1, 2026

Job Description:

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 The New York Times is looking for a Senior Software Engineer, with a focus on ML platform development, to join our Machine Learning & AI team to help solve creative challenges around Machine Learning infrastructure. Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations. The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements (SLAs) guaranteed by our platform. This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team. Responsibilities: You will research, develop, and deploy infrastructure for the Machine Learning Platform that supports large-scale multi-tenant workloads You will build a platform to train and test algorithms that provide real-time content recommendations and personalization to our readers You will enhance ML platform's CI/CD and integration testing capabilities You will build a platform that supports the full Machine Learning workflow; from model training, testing and production deployment at high scale and low latency 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: 5 years of direct relevant experience in MLOps or DevOps, including experience operating large systems in a production environment Experience deploying and monitoring systems using cloud infrastructure (GCP or AWS) Experience working with Kubernetes, Docker, and CI/CD (Drone, Argo, Jenkins, etc) Experience leading the development of large-scale, data-driven, distributed multi-tenant systems Proficiency with at least one high-level programming language like Python or Go Preferred Qualifications: Experience with any of the these technologies: Terraform, Airflow, SQL/BigQuery, BigTable or other NoSQL datastores such as Cassandra, DynamoDB, Redis Familiarity with ML tooling such as Triton, TensorFlow, scikit-learn Experience building the infrastructure that power real-world machine learning applications like recommendation systems, bandits, etc. Experience engaging with partners to understand pain points, observe patterns, and identify opportunities for improvements This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. REQ-019502 LI-hybrid The annual base pay range for this role is between: $140,000 - $160,000 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. 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 . The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here . 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. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general .

Keywords: The New York Times, Hamden , Senior Software Engineer, Machine Learning Platform, IT / Software / Systems , New York City, Connecticut