Machine Learning Engineer II

# Senior Machine Learning Operations Engineer
## About the Role
The Athletic is seeking a **Senior Machine Learning Operations Engineer** with strong knowledge of data pipelines, infrastructure, and model monitoring. You will work closely with data science and data engineering teams to productionize and maintain advanced machine learning models that support highly visible product features.
As the first Machine Learning Operations Engineer on the data science team, you will play a key role in building the infrastructure, processes, and best practices needed to support machine learning in production.
**This role is 100% remote for candidates currently residing in the United States or Canada.**
## Key Responsibilities
* Design, build, and maintain infrastructure for **machine learning model productionization**.
* Build infrastructure supporting machine learning models used in product features.
* Work with the data science team to streamline **model training, validation, and deployment**.
* Implement robust monitoring and alerting for **model performance, model drift, and data quality**.
* Help ensure machine learning models remain accurate and reliable in production.
* Champion ML Ops best practices across the data science environment.
* Evaluate and integrate new technologies into the data science technology stack.
* Work collaboratively with data science and data engineering teams on machine learning infrastructure and production workflows.
## Required Qualifications
* **4–6 years of experience** as a data scientist, data engineer, or machine learning engineer.
* Proven ability to build **machine learning model pipelines and infrastructure**.
* Strong working knowledge of **Python and SQL**.
* Proven experience with machine learning frameworks such as **scikit-learn or PyTorch**.
* Experience with cloud platforms such as **GCP, AWS, or 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.
* Ability to build effective cross-functional relationships.
* Ability to explain sophisticated concepts to diverse audiences and communicate insights through data.
## Preferred Qualifications
No additional preferred qualifications are explicitly identified in the source.
## Skills & Competencies
* Machine Learning Operations (ML Ops/MLOps)
* Machine learning infrastructure
* Machine learning pipelines
* Model training, validation, and deployment
* Model monitoring and alerting
* Model performance and drift monitoring
* Data quality
* Python
* SQL
* scikit-learn
* PyTorch
* GCP
* AWS
* Azure
* Docker
* Kubernetes
* Airflow
* Data pipelines
* Cross-functional collaboration
* Data communication and storytelling
## Education & Experience
**Education:** No specific educational requirement is stated.
**Experience:** 4–6 years as a data scientist, data engineer, or machine learning engineer, with experience building machine learning model pipelines and infrastructure.
## Work Arrangement & Schedule
* **100% remote**
* Candidates must currently reside in the **United States or Canada**.
* Full-time position.
## Compensation & Benefits
**Annual Base Salary: $140,000–$150,000 USD**
Total compensation may vary based on education, experience, skills, and location and may include non-cash rewards and benefits.
US benefits for full-time employees include:
* Employer-contributed medical, dental, vision, basic life, and disability insurance
* Savings accounts for medical, wellness, and childcare expenses
* 401(k) retirement savings plan and employer match
* Paid sick leave
* 12 paid holidays
* 15 days of accrued vacation to start
* Up to 20 weeks of paid parental leave
International candidates receive global benefits packages with similar benefits and perks competitive with their local market.
## Compliance / Additional Information
The Athletic Media Company is an **Equal Opportunity Employer** and encourages applicants from all backgrounds and experiences. Employment decisions are made without regard to protected characteristics under applicable law.
Applicant information is handled according to The Athletic Media Company's Applicant Privacy Notice.

Work arrangement
Yes