What are the responsibilities and job description for the Manager, Machine Learning Engineering position at Washington Post?

Job Description

The Washington Post Personalization team is seeking a Machine Learning Engineering Manager to lead a team of applied machine learning scientists in building the next generation of journalism-driven personalization systems. Our team is central to the Post's strategy to deliver intelligent, scalable, and adaptable personalized news experiences and business solutions for one of the largest digital platforms in the world.

This role offers a unique opportunity to blend technical expertise with leadership, driving innovation at the intersection of journalism and machine learning. You'll lead a high-performing team, build cutting-edge personalized experiences, and contribute to the future of digital journalism.

Motivation

You are passionate about world-class journalism and are motivated to contribute to features and projects that support this mission.
You excel as a technical leader with a solid ability to mentor and guide teams in problem-solving and innovation.
You are committed to fostering a collaborative team environment where feedback is welcomed and shared.
You are enthusiastic about staying updated on the latest machine learning technologies and fostering an environment where your team can grow their skills.

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 :

Minimum 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).

Preferred Qualifications

Experience working with various machine learning techniques such as clustering, classification, sentiment analysis, time series analysis, and deep learning.

Expertise in Reinforcement Learning and Recommendation Systems.

Proficiency with MLOps practices, including continuous integration / continuous delivery (CI / CD) pipelines, model versioning, and automated monitoring.

Knowledge in Economics, Finance, or a related field to drive data-driven product alignment with business objectives.

A Ph.D. in Computer Science, Mathematics, Statistics, or a related field is strongly preferred.

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 :

144,600.00 - 241,100.00 USD 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.

The Post strives to provide its readers with high-quality, trustworthy news and information while constantly innovating. That mission is best served by a diverse, multi-generational workforce with varied life experiences and perspectives. All cultures and backgrounds are welcomed.

The innovation doesn't end in the Newsroom - dozens of teams power The Washington Post . We are now hiring the next innovator - how will you Impact Tomorrow ?

washpostlife

Salary : $144,600 - $241,100

Apply for this job

Receive alerts for other Manager, Machine Learning Engineering job openings

Manager, Machine Learning Engineering

What are the responsibilities and job description for the Manager, Machine Learning Engineering position at Washington Post?

What is the career path for a Manager, Machine Learning Engineering?

Job openings at Washington Post

Not the job you're looking for? Here are some other Manager, Machine Learning Engineering jobs in the Washington, DC area that may be a better fit.

We don't have any other Manager, Machine Learning Engineering jobs in the Washington, DC area right now.

AI Assistant is available now!