Engineer, Platform, Machine Learning (Open to remote)
New York, NY, US, 10019
Full Time USD 155K - 175K
Bertelsmann
International media company and it’s divisions; information for all interested people, journalists and applicants; financial data and business detailsWe 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
Tags: Airflow AWS CI/CD Databricks DevOps GitLab Grafana Machine Learning MLFlow ML infrastructure ML models Security Snowflake Splunk Terraform
Perks/benefits: Flexible spending account Flex vacation Health care Insurance Salary bonus Startup environment
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