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Senior Software Engineer, Machine Learning Platform
New York Times
- United States
- United States
About
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:
Research, develop, and deploy infrastructure for the Machine Learning Platform that supports large-scale multi-tenant workloads Build a platform to train and test algorithms that provide real-time content recommendations and personalization to our readers Enhance ML platform's CI/CD and integration testing capabilities 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 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.
Languages
- English
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