The Associated Press · 3 weeks ago
Machine Learning Operations Engineer
United States
Full-time
Remote
Senior Level
$125K/yr - $155K/yr
5+ years expThe Associated Press is an independent global news organization dedicated to factual reporting. The Machine Learning Operations Engineer will own the production lifecycle of machine-learning systems, ensuring reliable, secure, and cost-effective operation of ML workloads in production environments.
Digital MediaPublishingContentNews
Responsibilities
Design, deploy, and operate end‑to‑end production ML pipelines across Dev, QA, and Prod environments
Set up and manage AWS SageMaker pipelines, endpoints, and monitoring for large scale inference workloads, including embedding generation, named entity recognition, reranking, and video processing
Own GPU and CPU infrastructure selection, scaling, and optimization, including instance benchmarking, autoscaling behavior, and load testing
Deploy, monitor, and operate inference services that support hundreds of thousands of queries per day across text, image, and video pipelines
Establish standardized ML deployment patterns at AP, including containerization and orchestration strategies, environment isolation (Dev / QA / Prod) and versioned promotion, rollback, and recovery mechanisms
Implement monitoring, alerting, drift detection, and evaluation metrics for production ML systems, tracking latency, error rates, throughput, and model/data drift
Enable A/B testing and controlled rollout strategies for ML models in production, in partnership with engineering and product teams
Partner closely with ML Engineers, Data Scientists, DevOps, and Platform teams to operationalize new models and pipeline improvements, promote systems across environments safely, and ensure deployments meet reliability, scale, and cost targets
Manage high-throughput I/O and data movement for large collections of media assets (text, images, video), avoiding CPU, network, and storage bottlenecks
Reduce operational risk by enforcing reproducibility, observability, security, and cost controls across all production ML systems
Qualification
Required
5+ years of experience deploying and operating ML inference systems in production
Strong experience with AWS SageMaker, including pipelines, endpoints, monitoring, and multi‑environment deployments
Expertise deploying ML models using PyTorch and TensorFlow from an operational and serving perspective
Proven experience with model deployment and orchestration, including containerized inference and autoscaling
Experience selecting, evaluating, and optimizing compute resources (GPU/CPU) for production ML workloads
Experience setting up monitoring, evaluation metrics, and A/B testing frameworks for ML systems in production
Ability to collaborate effectively with ML Engineers, Data Scientists, and platform teams in a shared ownership model
Preferred
Operational experience supporting ML systems involving transformer‑based NLP models (e.g., BERT‑family models), computer vision models, and ranking and reranking systems
Familiarity operating systems that use common ML model types such as convolutional and feed‑forward neural networks, ranking algorithms, and approximate Nearest Neighbor methods (e.g., HNSW)
Experience running ML workloads over large‑scale text, image, and video datasets
Benefits
Competitive medical, dental and vision coverage
Retirement benefits
Company paid life insurance
Paid vacation and sick days
Paid parental leave for any new parent
Mental well-being resources
Company
The Associated Press
The Associated Press is a source of independent newsgathering, supplying a steady stream of news to its members, and more.
1001-5000 employees
H1B Sponsorship
The Associated Press 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
83%
Represents job field similar to this job
Engineering and Development
Management and Executive
Legal and Compliance
Sales
Trends of Total Sponsorships
*2026 (3)
2025 (2)
2024 (6)
2023 (4)
2022 (4)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$0.75MKey Investors
Knight Foundation
2024-04-03Grant
2021-05-12Grant· $0.75M
Leadership Team
Daisy Veerasingham
President and CEO
Recent News
Company data provided by crunchbase