Engineer, Platform, Machine Learning (Open to remote)

Dorling Kindersley Limited; New York (NY); Remote; USD 155,000 - 175,000; Full time

Job summary

A leading company in publishing seeks an ML Infrastructure Engineer who will focus on building scalable and secure ML-native infrastructure. This role involves collaboration with various teams to ensure efficient integration of ML models, requiring expertise in AWS, Terraform, and CI/CD processes. Ideal candidates will thrive in a dynamic environment and contribute to innovative solutions while staying updated on ML trends.

Benefits

Comprehensive benefits program

Medical and prescription drug insurance

Dental and vision insurance

401(k) with pre-tax and Roth options

Educational assistance

Generous paid time off

Qualifications

• Proven experience in ML development and deployment workflows.
• Proficiency with AWS, Terraform, and CI/CD tools.
• Excellent problem-solving and communication skills.

Responsibilities

• Develops self-service infrastructure components to eliminate manual bottlenecks.
• Designs, implements, and maintains CI/CD infrastructure for ML lifecycle.
• Implements monitoring and logging solutions for reliability.

Skills

AWS

Terraform

CI/CD

Airflow

ML platforms and tools

Problem-solving

Communication

Collaboration

Job description

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Engineer, Platform, Machine Learning (Open to remote)

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

Location:

New York, NY, US, 10019

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