Machine Learning Engineering Manager

1 month ago

Washington, Washington, D.C., United States Washington Post Full time
Job Title: Machine Learning Engineering Manager

The Washington Post is seeking a highly skilled Machine Learning Engineering Manager to lead our team of applied machine learning scientists in building the next generation of journalism-driven personalization systems. As a key member of our team, you will be responsible for leading cross-functional agile teams, collaborating with other technical staff, and building and maintaining scalable machine learning infrastructure.

Responsibilities:
  • Lead, mentor, and manage cross-functional agile teams of applied machine learning scientists
  • 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
Qualifications:
  • 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)
Benefits:
  • 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

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