Engineer, Platform, Machine Learning (Open to remote)

Penguin Random House; New York (NY); Remote; USD 155,000 - 175,000; Full time

Job summary

A leading publishing company is seeking an Engineer, Platform, Machine Learning to build scalable and secure ML-native infrastructure. The candidate will collaborate with data scientists and engineers to ensure seamless deployment of ML models. A robust background in infrastructure is essential, along with proficiency in AWS and Terraform.

Benefits

Comprehensive benefits program

Medical/Prescription drug insurance

Dental and Vision insurance

Health Savings Account

Generous paid time off

Qualifications

• Experience in cross-functional platform roles is preferred.
• Familiarity with ML platforms like Databricks and monitoring tools like Prometheus.

Responsibilities

• Develop self-service infrastructure components to eliminate manual bottlenecks.
• Implement CI/CD infrastructure for ML model development.
• Ensure reliable ML systems through monitoring and logging solutions.

Skills

Proven experience in building infrastructure to support ML development

Proficiency with cloud services (AWS)

Infrastructure-as-code (Terraform)

Workflow orchestration (Airflow)

Strong understanding of CI/CD tools

Excellent problem-solving skills

Strong communication and collaboration skills

Job description

Engineer, Platform, Machine Learning (Open to remote)

Join to apply for the Engineer, Platform, Machine Learning (Open to remote) role at Penguin Random House

Engineer, Platform, Machine Learning (Open to remote)

Join to apply for the Engineer, Platform, Machine Learning (Open to remote) role at Penguin Random House

We are seeking a talented and motivated ML 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 July 7, 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 job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications.

Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off.

Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.

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

Date: Jun 26, 2025

Location:

New York, NY, US, 10019

Nearest Major Market: Manhattan

Nearest Secondary Market: New York City

Job Segment: Book Publishing, Industrial, Machinist, Learning, Training, Publishing, Manufacturing, Human Resources, Education

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Book and Periodical Publishing, Book Publishing, and Manufacturing

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