Senior Software Engineer, Machine Learning Platform at The New York Times

At The New York Times, our mission is to seek the truth and help people understand the world. Independent journalism sits at the core of everything we do, supported by a global newsroom with reporters in nearly 160 countries. We are dedicated to delivering a world-class digital experience to our 150 million readers, ensuring our journalism is accessible and impactful across all our platforms. By building sophisticated digital products, we sustain our mission and ensure that high-quality reporting remains a vital resource for everyone.

The role

We are seeking a Senior Software Engineer to join our Machine Learning Platform team on a full-time basis. In this senior-level position, you will focus on MLOps to solve complex infrastructure challenges that allow our data scientists to deploy models at scale. This role is based in the United States and follows a hybrid work model, providing you with the opportunity to collaborate closely with our engineering team while maintaining flexibility.

Core responsibilities

• Design, develop, and maintain the infrastructure that powers our Machine Learning Platform, ensuring it supports large-scale, multi-tenant workloads.
• Create self-service patterns that empower data scientists to manage the entire ML lifecycle, from initial training and testing to production deployment with low latency.
• Improve our platform’s CI/CD pipelines and integration testing capabilities to ensure reliable, high-performance delivery of real-time content recommendations and personalization features.

Skills and experience

To succeed in this role, you should have a strong background in building and operating distributed systems. We are looking for the following qualifications:

• At least 4 years of professional experience in MLOps or DevOps, specifically with operating large-scale production systems.
• Proven experience deploying and monitoring systems using cloud infrastructure such as AWS or GCP.
• Proficiency in Kubernetes and Docker, along with experience managing CI/CD workflows.
• Strong development skills in a high-level language like Python or Go.
• A demonstrated ability to lead the development of data-driven, distributed systems that serve multiple tenants.

Compensation and benefits

The annual base pay range for this position is between $140,000 and $155,000 USD. In addition to competitive compensation, we offer a hybrid work schedule to support a healthy work-life balance.

How to apply

If you are passionate about our mission and have the technical expertise to help us scale our machine learning infrastructure, we would love to hear from you. Please submit your application through our official careers portal to be considered for this opportunity. We are committed to building a diverse and inclusive team and strongly encourage candidates from all backgrounds to apply.