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Senior Applied Machine Learning Scientist

The Washington Post

Washington, DC
Full Time
Senior
132k-219k
17 days ago

Job Description

About the Role

Join the future of news We're on a mission to deliver riveting storytelling for all of America. At The Washington Post, you'll help reinvent news. Our work is driven by a deep investigative spirit and enhanced by innovation to bring audiences closer to the stories that matter most. The Washington Post is powered by the passion and talent of our people. It takes all of us to reinvent news. Beyond our award-winning Newsroom and Opinions teams, we work across many departments, including Brand & Events, Communications, Customer Care, Engineering & Product, Finance, Human Resources, Legal, Marketing & Advertising, Print Operations, and Sales. The Washington Post Personalization team is looking for a senior applied machine learning scientist who is excited to create forward-thinking solutions for the next generation of journalism. You will lead the research, design, and implementation of cutting-edge machine learning models that drive significant business impact and enhance reader experience.

Key Responsibilities

  • Implement and tune state-of-the-art machine learning models to deliver highly personalized content recommendations to users to optimize engagement, starting from problem definition and data exploration to model deployment, monitoring, and iteration.
  • Have a keen problem-solving ability and a strong foundation in statistical analysis.
  • Design and execute robust online experiments to evaluate model performance and measure true causal impact on key business metrics.
  • Deploy ML models under the constraints of scalability, correctness, and maintainability.
  • Collaborate with agile and cross-functional teams of machine learning scientists, software engineers, data engineers, and Product to develop impactful machine learning solutions.
  • Analyze large and complex data sets to derive valuable insights and inform features and product development.
  • Communicate with the business to align machine learning products with business goals.

Requirements

  • Minimum Qualifications: Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
  • 3+ years of machine learning and data science experience.
  • 3+ years of professional experience with Python.

Nice to Have

  • 2+ years of experience with AWS.
  • 3+ years of experience with supervised and unsupervised learning, deep learning, and causal inference.
  • Hands-on experience designing, building, and deploying recommender systems at scale.
  • Masters or Ph.D. degree in Computer Science, Mathematics, Statistics, or related field.
  • Background in Economics, Finance, or related fields.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
  • 3+ years of machine learning and data science experience.
  • 3+ years of professional experience with Python.

Benefits & Perks

  • 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.

Working at The Washington Post

Collaboration makes us stronger. Our offices are designed with open layouts, modern technology, and easy access to transportation. We value innovation, teamwork, and continuous growth, fostering an environment where learning and sharing the latest machine learning technologies are encouraged.

Apply Now

Job Details

Posted AtJul 9, 2025
Job CategoryData Science
Salary132k-219k
Job TypeFull Time
Work ModeOnsite
ExperienceSenior

Job Skills

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About The Washington Post

Website

washingtonpost.com

Location

Washington, DC

Industry

Newspaper Publishers

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