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 an applied machine learning scientist who is excited to create forward-thinking solutions for the next generation of journalism. 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.

What Motivates You

• 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.

How You'll Support The Mission

• Collaborate with cross-functional agile teams of machine learning scientists, data engineers, software engineers, and others in building machine learning infrastructure that best supports the ML needs.

• Have a strong problem-solving ability and a knack for statistical analysis.

• Apply machine learning technologies to build statistical models with large amounts of data.

• Analyze large and complex data sets to derive valuable insights, inform feature and product development.

• Deploy ML models under the constraints of scalability, correctness, and maintainability.

• Monitor and ensure the quality of machine learning solutions by implementing process and control disciplines as well as tooling to govern.

• Proven ability to communicate with business and know business needs, and align our data products with our business goals.

The Skills and Experience You Bring

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field

• 2 year+ machine learning and data science experience

• 1 year+ professional experience with Python

• 2 year+ experience with AWS

• 2 year+ experience with clustering, classification, sentiment analysis, time series, and deep learning

• Knowledge in LLMs

• Knowledge in Recommendation Systems

• Knowledge in Economics, Finance, or related field

• Ph.D. degree in Computer Science, Mathematics, Statistics, or related field

Collaboration makes us stronger. That’s why our offices are designed with open layouts, modern technology, and easy access to transportation. With certain exceptions for newsgathering and business travel, we work on-site five days a week.

Compensation and Benefits

Wherever you are in your life or career, The Washington Post offers comprehensive and inclusive benefits for every step of your journey:

• 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

Benefits may vary based on the job, full-time or part-time schedule, locatio