NPR · 2 days ago
Senior AI Engineer, AI Labs
NPR is a thriving, mission-driven multimedia organization producing award-winning news and music programming. The Senior AI Engineer will be responsible for the technical development and implementation of generative AI solutions to enhance content metadata quality and support NPR's goals of improving content personalization and editorial efficiency.
BroadcastingDigital MediaNews
Responsibilities
Design, develop, and deploy scalable Generative AI (GAI) solutions, focusing on enhancing content metadata quality and actionability to meet organizational objectives
Establish and champion technical best practices for Generative AI systems, including MLOps, RAG architectures, prompt engineering, and model evaluation, ensuring high-quality, maintainable code
Collaborate closely with Product Managers, data scientists, software and infrastructure engineers, and relevant subject matter experts to translate product requirements and roadmaps into robust, production-ready AI systems
Implement data-driven methods, A/B testing, and performance monitoring to optimize the efficiency, scalability, and impact of AI models and pipelines
Clearly articulate technical architectures, development progress, and engineering challenges to product and non-technical stakeholders
Integrate ethical AI principles and compliance standards directly into the design and implementation of all AI products, in alignment with company policies
Research and evaluate emerging AI technologies, frameworks, and industry trends to drive continuous technical innovation within the AI Labs
Qualification
Required
5+ years of professional experience in software development, data science, or machine learning engineering, with a focus on building and deploying production systems
2+ years of hands-on experience working with generative AI, machine learning, or data products
Expert proficiency in Python and experience creating functional prototypes to validate technical feasibility and user flows
Demonstrable understanding and experience building products that leverage Large Language Models, RAG architectures, prompting, function calling, retrieval, vector databases, embeddings, fine-tuning, and model evaluation
Familiarity with building and integrating MCP servers and agentic workflows
Background in creating QA systems for AI processes and development
Excellent communication skills and the ability to clearly articulate technical architectures and challenges to product and non-technical stakeholders
A collaborative and respectful approach to work and an ability to adapt quickly to change
A deep commitment to the mission of NPR and to the responsible implementation of Generative AI technologies
Preferred
Experience designing and building highly scalable, production-grade AI/ML pipelines and services
Proficiency with cloud platforms, particularly AWS and Google Cloud Platform (GCP) and MLOps tools, particularly MLFlow and Vertex AI
Experience with DevOps practices, including CI/CD and enterprise infrastructure-as-code
Experience working in media organizations and an understanding of media delivery systems
Benefits
Access to health and wellness
Paid time off
Financial well-being
Medical
Dental
Vision
Life/ accidental death and dismemberment
Long-term disability
Short-term disability
Voluntary retirement savings
Company
NPR
NPR is a multimedia news organization and radio program producer that delivers national and international news broadcasts.
H1B Sponsorship
NPR 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 (6)
2024 (6)
2023 (6)
2022 (7)
2021 (5)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$57.7MKey Investors
Corporation for Public Broadcasting
2025-11-17Grant· $36M
2020-05-19Grant· $4.7M
2013-12-15Grant· $17M
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