Machine Learning Engineering Manager

3 days ago

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

The Washington Post is seeking a highly skilled Machine Learning Engineering Manager to lead a team of applied machine learning scientists in building the next generation of journalism-driven personalization systems.

This role offers a unique opportunity to blend technical expertise with leadership, driving innovation at the intersection of journalism and machine learning.

Responsibilities:
  • 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.
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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