Software Engineer, Machine Learning Platform , NY

Software Engineer, Machine Learning Platform

New York, NY

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do as a company.

Machine Learning (ML) at the New York Times enhances the experience of our readers and grows our subscriber base through content recommendations and personalizations.

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. Our partners are Data Scientists who build and deploy their ML models on the platform, and engineering systems that call these hosted models with low latency and guaranteed SLAs.

We are looking for a Software Engineer, with a focus on MLOps, to join our Machine Learning Platform team to help solve creative challenges around ML infrastructure for The New York Times.

This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team.

• You will research, develop, and deploy infrastructure for the Machine Learning Platform at scale
• You will build infrastructure to train and test algorithms that provide real-time content recommendations and personalization
• You will enhance ML platform's CI/CD and integration testing capabilities
• You will promote developer productivity by rolling out capabilities that maximize self-sufficiency and minimize toil in learning those capabilities in building scalable applications with high speed, quality, and performance
• 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

• 2+ years of direct relevant experience in MLOps or Dev Ops, 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
• Familiarity with at least one high-level programming language like Python or Go

• Experience with any of the these technologies:
  Terraform, Airflow, SQL/Big Query, Drone, Triton, Tensor Flow, scikit-learn, Data Dog
• Experience building real-world machine learning applications like recommendation systems, bandits, etc.
• Experience engaging with stakeholders to understand pain points, observe patterns, and identify opportunities for improvements
• This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

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#LI-Hybrid

• The annual base pay range for this role is between: $110,000 - $130,000 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.

This role is hybrid and based in New York City.

The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of sex, age, race, color, creed, national origin, disability, veteran status, or other protected characteristics. All applications will receive consideration for employment without regard to legally protected characteristics. EEOC information is available to applicants upon request.

The New York Times and its affiliates are committed to privacy and compliance practices. If you have questions about privacy or accessibility, contact the appropriate channels during the application process.

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