Senior ML Engineer - Production AI/ML & Personalization

The Washington Post; United States; On-site; USD 120,000 - 199,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

401(k) match

Vacation and sick leave

Parental leave

Job summary

The Washington Post is seeking a senior machine learning engineer to design, build, and scale production AI/ML systems that power next‑gen journalism. You will work on AI/ML platforms, search, ranking, and generative AI‑powered reader experiences, translating research into reliable production software.

You will collaborate across teams to deliver high‑throughput, low‑latency services, contribute to model training and deployment, and mentor engineers while shaping the technical roadmap for AI/ML

Qualifications

• Bachelor’s degree or greater in Computer Science, Computer Engineering, Machine Learning, or related technical field, or equivalent practical experience.
• 5+ years of experience in machine learning engineering, software engineering, or building large-scale production ML systems.
• Strong programming skills in Python and experience with a production language such as C++, Java, Go, Scala, or Rust.
• Hands-on experience with PyTorch or another modern ML framework and deploying deep learning models into production.
• Experience designing and operating end-to-end ML systems, including training, deployment, inference, monitoring, and continuous improvement.

Responsibilities

• Design, build, deploy, and operate production ML systems across generative AI, search, Revenue Science and Personalization.
• Partner with Applied Research Scientists to translate research models into scalable production systems.
• Design and build high-throughput, low-latency ranking and retrieval services for real-time personalization, recommendation, search, and discovery.
• Build and evolve reusable AI/ML platform capabilities for model training, feature generation, experimentation, deployment, inference, versioning, and monitoring.
• Design and optimize CPU and GPU inference systems for LLMs, embedding models, rerankers, and deep learning workloads.
• Develop scalable online and batch ML architectures for feature pipelines, embedding generation, candidate retrieval, ranking, and model inference.
• Establish ML observability across model quality, data health, latency, throughput, and resource utilization.
• Provide technical leadership through architecture reviews, mentoring, and roadmaps for AI/ML platforms.

Skills

Python

Machine Learning

End-to-end ML systems

System design

Mentoring engineers

Education

Bachelor’s degree in CS/CE/ML

Tools

PyTorch

Kubernetes

Docker

CI/CD

AWS

GCP

Job description

The Washington Post is seeking a senior machine learning engineer to design, build, and scale production AI/ML systems that power next‑gen journalism. You will work on AI/ML platforms, search, ranking, and generative AI‑powered reader experiences, translating research into reliable production software.

You will collaborate across teams to deliver high‑throughput, low‑latency services, contribute to model training and deployment, and mentor engineers while shaping the technical roadmap for AI/ML