Senior Applied Machine Learning Scientist

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.

About Our Team

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.

Why This Role Matters

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. Our team is at the heart of the Post's machine learning strategies to build intelligent and adaptable personalized news experiences and business solutions capable of powering the most high-scale websites in the world.

• You value world-class journalism and are eager to immerse yourself in features and projects that support that mission.
• You are a technically savvy critical thinker who enjoys problem-solving.
• You receive feedback enthusiastically and thrive in a collaborative environment.
• You are eager to evolve and grow your skill-set by learning and sharing the latest machine learning technologies.

• 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
• Have a proven ability to communicate with the business and know business needs, and align our machine learning products with our business goals.

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

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

• 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