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.

Motivation

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.

 

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

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

 

Qualifications

Minimum Qualifications

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

 

Preferred  Qualifications

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

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, location, and collectively bargained status.

The salary range for this position is:

$131,500 - $219,100 Annual

The actual salary within this range will depend on individual skills, experience, and qualifications as they relate to specific job requirements. This position may be eligible for a bonus or incentive program, and a member of the Talent Acquisition team will discuss bonus payment terms and conditions during the interview process.

Your story awaits. Apply today!

Learn more about The Post at careers.washingtonpost.com.