Who you are

• 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

What the job involves

• We are looking for a senior machine learning operations engineer who understands data pipelines, infrastructure, and model monitoring
• In this role, you will work closely with our data science and data engineering teams to help us productionize and maintain advanced machine learning models
• As the first machine learning operations engineer on our small data science team, your work will be critical to both the data team at The Athletic and the company as a whole
• 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

Benefits

• Paid Time Off
• Paid Sick Leave
• Paid Parental Leave
• 401 (k)
• Short & Long Term Disability
• Free Subscription
• Competitive Health Care
• HSA & FSA
• Commuter Benefits