The New York Times' Personalization Platform needs to build and maintain a flexible system of editorial, technical, and data infrastructure tools to help surface the best of our journalism to readers. This involves supporting the programming of 1:1 personalization experiments and variants for machine learning powered systems on various platforms.
Requirements
- 5+ years of experience in programming languages that are backend focused (Node / Typescript, Go, Java)
- 3+ years of experience with cloud-based deployments on Amazon Web Services or Google Cloud Platform
- 2+ years of experience with data engineering in production applications (Apache Beam / Airflow, GCP Dataflow / Composer)
- Experience with Graphql
- Experience running user-facing experiments
Responsibilities
- Lead the development and optimization of data and technical infrastructure that connects our machine learning platform to editorial tools and surfaces.
- Draw on your experience with Kubernetes and Kafka to build real-time systems that reflect the rapid pace of our newsroom.
- Maintain our Personalization subgraph in a federated GraphQL architecture.
Other
- Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.
- This role requires limited on-call hours.
- LI-Hybrid
- The annual base pay range for this role is between:$140,000—$155,000 USD
- 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.
