Senior Infrastructure Engineer, AI & ML, Penguin Random House (Open to Remote)

Location: New York, New York (NY), us, Remote

Company Description

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.

Job Description

The Data Science team at Penguin Random House builds recommendation systems, forecasting models, and AI-powered tools that shape how readers discover books across our platforms. Our team of scientists and engineers develops and operates these systems end-to-end, from research through production. 

We are building a dedicated cloud environment on AWS, along with ML platforms that enable our scientists to deliver models to production quickly. We are hiring a Senior Infrastructure Engineer to build and maintain the foundational systems that support this work. 

You will build on a mature MLOps foundation and work closely with AI to evolve and run our cloud platform. 

Key Responsibilities:

• Design and own core components of our AWS environment used across data science products. Set the standards for how people and AI agents change infrastructure: review, tests and guardrails. 

• Build self-service paths to production for scientists: CI/CD pipelines, promotion gates, and automated triggers, so scientists can ship models without hand-holding. 

• Help maintain the security, compliance, and reliability of cloud environments. 

• Shape the platform roadmap by identifying the infrastructure work that will most unblock our scientists, and keep stakeholders informed as it progresses. 

Qualifications

• 5+ years building and running production systems. 

• Track record of designing infrastructure components or tooling that other engineers or teams adopted. 

• Hands-on cloud experience (AWS preferred). 

• You can use AI agents to build and operate systems, and you can show work you shipped this way. 

• Strong communication skills and ability to work closely with data scientists and engineers. 

• Experience running infrastructure for ML or data-intensive workloads in production, such as model training, batch scoring or model serving. 

Preferred Qualifications:

• Experience defining SLOs or SLAs and managing cloud cost for ML production systems. 

• Experience with evaluation or error analysis of ML or LLM systems in production. 

Additional Information

The salary range for this position is $185,000-$210,000.  All positions are currently eligible for an annual profit award or bonus, subject to Company results. 

Applications for this role will be accepted through December 3, 2026, or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. For this position a complete application should include your resume and cover letter, as both are required 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.

All your information will be kept confidential according to EEO guidelines.

Disclosure requirements pertaining to the collection of your personal data:

Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.

The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here.

You can contact the company’s Data Protection Officer at the above-mentioned postal address. 

Further information on data protection and your rights can be found here.

We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.

All your information will be kept confidential according to EEO guidelines.

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