Senior Machine Learning Operations Engineer

🕒 February 12

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

The Athletic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

📱 Media

⚽ Sports

Media • Sports

The Athletic is a sports media company known for comprehensive sports coverage and in-depth reporting across various sports such as football, tennis, Formula 1, golf, MLB, NFL, NBA, NHL, and college sports. It provides high-quality articles, live updates, and expert analysis covering significant events and players in the sports world. The platform features content on various leagues and tournaments, providing insights from well-known journalists and analysts. The Athletic aims to set the standard in sports reporting and offers subscription-based access to its content.

📋 Description

• Design, build, and maintain machine learning model productionization infrastructure. These models will drive very visible product features at The Athletic, and your infrastructure is key to their success. • Work with the rest of the data science team to streamline model training, validation, and deployment. • Implement robust monitoring and alerting for model performance, drift, and data quality, ensuring our models remain accurate in production. • Cultivate an outstanding data science environment by championing best practices in ML Ops and evaluating and integrating new technologies into our data science stack.

🎯 Requirements

• 4-6 years of experience as a data scientist, data engineer, or machine learning engineer with a proven ability to build machine learning model pipelines and infrastructure. • Strong working knowledge of Python and SQL to pull, transform, and otherwise deal with data in all of its forms. • Proven experience with ML frameworks (e.g., scikit-learn, PyTorch) and cloud platforms (e.g., GCP, AWS, Azure). • Hands-on experience with Docker, Kubernetes, and Airflow. • Ability to drive projects with minimal guidance and prioritize high-impact work. • Strong verbal and written communication skills with ability to build cross-functional relationships. • Can explain sophisticated concepts to diverse audiences and craft compelling stories with data.

🏖️ Benefits

• Highly competitive, employer-contributed medical, dental, vision, basic life and disability insurance plans. • Savings accounts for medical, wellness, and childcare expenses. • 401k retirement savings plan and employer match. • Paid time off including paid sick leave, 12 paid holidays, 15 days of accrued vacation to start, and up to 20 weeks of Paid Parental Leave. • Global benefits packages offer similar benefits and perks, competitive to the local market.