Machine Learning Engineer
- Employer
- The Washington Post
- Location
- Washington, DC
- Posted
- Sep 06, 2022
- Closes
- Oct 27, 2022
- Ref
- JR-90273941
- Function
- Engineer, IT, QA Engineer
- Industry
- Engineering, Manufacturing
- Career Level
- Experienced (Non-Manager)
- Hours
- Full Time
Job Description
The Washington Post Personalization team is looking for a machine learning engineer 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.
Motivation:
Responsibilities:
Qualifications:
Preferred Qualifications:
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
The Washington Post Personalization team is looking for a machine learning engineer 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.
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 a born self-starter with an earnest work ethic.
- You are eager to evolve and grow your skill-set by learning and sharing the latest machine learning technologies.
Responsibilities:
- Collaborate with cross-functional agile teams of data scientists, machine learning engineers, software engineers, and others in building machine learning infrastructure that best supports the ML needs.
- Apply machine learning technologies to build statistical models with large amounts of data.
- Leverage your experience to drive best practices in ML systems and data engineering.
- Analyze large and complex data sets to derive valuable insights, inform feature and product development
- Design and implement ML feature pipelines
- Optimize pipelines and processes for model development, experimentation, and scaled production scoring
- 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
Qualifications:
- Minimum Qualifications
- Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
- 1 year+ machine learning and data science experience
- 1 year+ professional experience with Python
Preferred Qualifications:
- 1 year+ experience with AWS
- 1 year+ experience with clustering, classification, sentiment analysis, time series, and deep learning
- Advanced degree in Computer Science, Mathematics, Statistics, or related field
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