Software Engineer, Machine Learning Platform

The New York Times

New York, NY, United States
Base: $110,000 - $130,000; bonus/equity: not speci...
On-site
Mlops or devops experience
Cloud infrastructure (gcp or aws)
Kubernetes, docker, and ci/cd
The Machine Learning Platform (MLP) team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute

Job Summary

  • The Machine Learning Platform (MLP) team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute.
  • You will research, develop, and deploy infrastructure for the Machine Learning Platform at scale.
  • 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.

Matching Summary

The Machine Learning Platform (MLP) team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute.

Salary

Base: $110,000 - $130,000; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k) match, PTO, tuition reimbursement

Skills & Requirements

Must-have

  • MLOps or DevOps experience
  • Cloud infrastructure (GCP or AWS)
  • Kubernetes, Docker, and CI/CD
  • Python or Go programming

Nice-to-have

  • Stakeholder engagement and improvement identification
  • Building real-world ML applications
  • Terraform, Airflow, DataDog experience

Key Requirements

  • 2+ years of direct relevant experience
  • Experience deploying and monitoring systems
  • Experience with Kubernetes, Docker, and CI/CD
  • Familiarity with Python or Go

Work Rights

Not specified

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