Machine Learning Infrastructure Engineer

We are seeking a talented and motivated Machine Learning Infrastructure Engineer to join our team. The ideal candidate will have a strong background in building scalable, secure, ML-native infrastructure. You will work closely with our data scientists, ML scientists/engineers, infrastructure, security, and IT operations team to ensure seamless integration and deployment of ML models and applications.

Specific responsibilities include:

• Develops self-service infrastructure components (e.g., Terraform modules, GitLab CI templates, deployment scaffolds) to eliminate manual bottlenecks.
• Designs, implements, and maintains CI/CD infrastructure to support the ML models development lifecycle.
• Implements robust monitoring and logging solutions to ensure the reliability of ML systems.
• Represents ML requirements in infrastructure and security decisions.
• Stays up-to-date with the latest trends and technologies in ML and DevOps.

Please apply if you meet the following qualifications:

• Proven experience in building infrastructure to support ML development and deployment workflows
• Proficiency with cloud services (AWS), infrastructure-as-code (Terraform), and workflow orchestration (Airflow)
• Strong understanding of CI/CD tools such as GitLab CI
• Familiarity with ML platforms and tools (e.g., Databricks, MLflow) and data platforms like Snowflake
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills

Preferred Qualifications:

• Prior work in cross-functional platform roles or on enablement teams
• Experience with monitoring tools like Prometheus, Grafana, DataDog, and Splunk

The salary range for this position is $155,000 - $175,000. All positions are currently eligible for annual profit award or bonus, subject to company results.

Please apply by August 15, 2025 and include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.

Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

Company: Penguin Random House LLC

Country: United States of America

State/Region: New York

City: New York

Postal Code: 10019

Job ID: 280900