Senior Machine Learning Engineer
Core
Design, build, and scale production AI/ML systems powering journalism, search, retrieval, ranking, recommendation, and generative AI reader experiences.
Role type
Senior IC machine learning engineer (production systems)
Builds
Production ML platforms, search/retrieval/ranking services, GenAI workflows, and inference systems for The Washington Post
Domain
News media + AI/ML infrastructure
Deliverable
production ML models
Required skills
Python, C++/Java/Go/Scala/Rust, PyTorch, distributed systems, system design, low-latency inference optimization, Kubernetes, Docker, CI/CD, AWS/GCP, Spark, Beam, Kafka, Terraform/CloudFormation/CDK
Preferred skills
Mentoring engineers, shaping technical roadmaps, experience with agentic AI workflows
Technologies
PyTorch, Kubernetes, Docker, AWS, GCP, Spark, Beam, Kafka, Terraform, CloudFormation, CDK
Responsibilities
Design and deploy production ML systems for GenAI, search, and personalization; optimize CPU/GPU inference for LLMs and deep learning workloads; build scalable online/batch ML architectures; establish ML observability; provide technical leadership in system design and architecture reviews
Seniority
Senior, hands-on IC with mentorship responsibilities
