The New York Times · 1 hour ago
ML Ops Engineer, Machine Learning & AI
New York, NY
Full-time
Onsite
Entry, Mid Level
$110K/yr - $130K/yr
2+ years expThe New York Times is a renowned journalism company dedicated to truth and understanding. The ML Ops Engineer will build and maintain the infrastructure for machine learning models, partnering with various teams to enhance the reader experience through automation and optimization of ML processes.
Digital MediaJournalismNews
Responsibilities
Build and Automate ML Pipelines: by owning robust CI/CD pipelines for automated model training, validation, deployment, and retraining
Productionalize Models: Build the process for packaging, containerizing, and deploying ML models as scalable, low-latency, and highly-available services
Monitoring and Operations: Implement and manage comprehensive monitoring for production models, tracking system health, data drift, and model performance degradation
Tooling and Infrastructure: Manage and evolve our MLOps toolchain, including model registries, feature stores, experiment tracking systems, and model serving platforms
Collaboration and Support: Partner with data scientists to understand model requirements and optimize them for production. Support software engineers in integrating with ML services
Best Practices and Governance: Champion and enforce MLOps best practices for reproducibility, versioning (data, code, model), testing, and governance
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
Qualification
Required
2+ years of software engineering or DevOps experience with a focus on MLOps, automation, and infrastructure
2+ years of experience programming in Python or Go
Experience building and managing CI/CD pipelines (e.g., Github Actions, Jenkins, GitLab CI)
Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes)
Cloud platform experience (AWS, GCP) and familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)
Preferred
Experience with MLOps tools (e.g., MLflow, Kubeflow)
Experience with the machine learning model lifecycle, from experimentation to production
Experience with data processing frameworks (e.g., Spark, Dask, or Ray)
Experience with low-latency no-sql datastores (BigTable, Dynamo, etc)
Familiarity with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, or ELK)
Knowledge of data engineering pipelines and orchestration tools (e.g., Airflow, Prefect)
Benefits
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
Professional development programs
Company
The New York Times
The New York Times is powered by the idea that independent, deeply reported journalism fuels a healthy and engaged society.
1001-5000 employees
H1B Sponsorship
The New York Times has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (40)
2024 (20)
2023 (21)
2022 (36)
2021 (27)
2020 (36)
Funding
Current Stage
Late StageLeadership Team
William Bardeen
Chief Financial Officer
Crystal Chien
VP of Engineering
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