Job Description

The Washington Post Personalization team is seeking a Machine Learning Engineering Manager to lead a team of applied machine learning scientists in building the next generation of journalism-driven personalization systems. Our team is central to the Post's strategy to deliver intelligent, scalable, and adaptable personalized news experiences and business solutions for one of the largest digital platforms in the world.

This role offers a unique opportunity to blend technical expertise with leadership, driving innovation at the intersection of journalism and machine learning. You'll lead a high-performing team, build cutting-edge personalized experiences, and contribute to the future of digital journalism.

• You are passionate about world-class journalism and are motivated to contribute to features and projects that support this mission.
• You excel as a technical leader with a solid ability to mentor and guide teams in problem-solving and innovation.
• You are committed to fostering a collaborative team environment where feedback is welcomed and shared.
• You are enthusiastic about staying updated on the latest machine learning technologies and fostering an environment where your team can grow their skills.

• Lead, mentor, and manage cross-functional agile teams of applied machine learning scientists and collaborate with other technical staff to build and maintain scalable machine learning infrastructure.
• Provide leadership and guidance in problem-solving, ensuring best practices are followed for statistical analysis, model development, and machine learning techniques.
• Oversee the end-to-end development and deployment of machine learning models, ensuring they are scalable, maintainable, and aligned with organizational goals.
• Collaborate with business teams to align machine learning products with strategic objectives, deriving insights from large and complex datasets to inform feature and product development.
• Establish and implement processes, best practices, and tooling for continuous integration, delivery, and monitoring to ensure high-quality machine learning solutions.
• Manage the technical roadmap, balancing innovation with the need for stability and performance while fostering a culture of continuous improvement and learning within the team.

• Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• 6+ years of experience in machine learning, data science, or applied artificial intelligence.
• 2+ years of experience in managing and leading technical teams, with demonstrated ability to mentor, coach, and develop engineering talent.
• 2+ years of hands-on experience with Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience in deploying ML models in production environments, including using cloud platforms (AWS, GCP, or Azure) and ML infrastructure tools (e.g., Kubernetes, Docker).

• Experience working with various machine learning techniques such as clustering, classification, sentiment analysis, time series analysis, and deep learning.
• Expertise in Reinforcement Learning and Recommendation Systems.
• Proficiency with MLOps practices, including continuous integration/continuous delivery (CI/CD) pipelines, model versioning, and automated monitoring.
• Knowledge in Economics, Finance, or a related field to drive data-driven product alignment with business objectives.
• A Ph.D. in Computer Science, Mathematics, Statistics, or a related field is strongly preferred.

• Competitive medical, dental and vision coverage
• Company-paid pension and 401(k) match
• Three weeks of vacation and up to three weeks of paid sick leave
• Nine paid holidays and two personal days
• 20 weeks paid parental leave for any new parent
• Robust mental health resources
• Backup care and caregiver concierge services
• Gender affirming services
• Pet insurance
• Free Post digital subscription
• Leadership and career development programs