Machine Learning Engineer for an Online News Media

We are seeking a Machine Learning Engineer to enhance our data science and ML capabilities, supporting current and upcoming projects. The ideal candidate will have strong expertise in developing, deploying, and optimizing predictive models and working with modern ML platforms in a cloud environment. You will collaborate closely with product and engineering teams to deliver data-driven solutions that directly impact business outcomes.

Benefits:

• Opportunity to work with cutting-edge ML platforms and cloud technologies
• Supportive and collaborative international team
• Flexible working schedule
• Fully remote work with the ability to work from anywhere

Requirements:

• Proven experience in building and optimizing machine learning models for predictive analytics, regression, forecasting, and categorization tasks.
• Strong proficiency in Python, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch, for end-to-end model development and deployment.
• Hands-on expertise with cloud ML platforms like Google AutoML or AWS SageMaker to accelerate and scale model training.
• Solid knowledge of data processing with tools such as SQL, BigQuery, or Spark, including data wrangling, feature engineering, and managing large-scale workflows.
• Practical understanding of model lifecycle management, including version control, monitoring, retraining, and performance optimization.
• Experience integrating ML solutions into cloud-based data pipelines and APIs, ensuring production-level reliability.
• Familiarity with MLOps best practices, including CI/CD workflows for ML, containerization with Docker, and orchestration with Kubernetes.
• Strong background in statistical modeling, experimentation, and A/B testing to validate and continuously improve model performance.

Responsibilities:

• Develop, evaluate, and optimize ML models for predictive analytics, forecasting, and categorization tasks
• Build and maintain scalable data pipelines and integrate ML solutions into production environments
• Apply feature engineering, data wrangling, and statistical modeling techniques to improve model performance
• Manage model lifecycle (monitoring, retraining, versioning) and ensure scalability
• Collaborate with product managers, engineers, and analysts to align business requirements with technical solutions
• Participate in A/B testing and experimentation to validate performance of ML models
• Contribute to MLOps best practices and improve CI/CD workflows for ML projects

About client:

A multifaceted digital media company dedicated to helping citizens, consumers, business leaders, and policy officials make important decisions in their lives. The company publishes independent reporting, rankings, data journalism, and advice that has earned the trust of readers and users for nearly 90 years. They are an American media company that publishes news, consumer advice, rankings, and analysis. It was launched in 1948 as the merger of a domestic-focused weekly newspaper and an international-focused weekly magazine. In 1995, the company launched its website, and in 2010 the magazine ceased printing. They reach more than 40 million people monthly during moments when they are most in need of expert advice and are motivated to act on that advice directly on their platforms.

Industry:

Online Media

Location:

United States

About project:

An American media company that publishes news, opinion, consumer advice, rankings, and analysis. Founded as a news magazine in 1933, it transitioned to primarily web-based publishing in 2010, although it still publishes its rankings. It covers politics, education, health, money, careers, travel, technology, and cars.