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

This is a Fully Remote Job

About Our Client:

The organization operates as a leading publisher in North America, the United Kingdom, and other regions globally, specializing in adult and children's books across every genre and subject. It addresses the challenge of delivering high-quality, diverse literature by managing an extensive network of nearly 300 publishing brands and imprints, ensuring excellence in editorial, design, marketing, publicity, sales, production, and distribution processes.

About the Opportunity:

The SENIOR INFRASTRUCTURE ENGINEER, AI & ML is responsible for developing and maintaining the cloud infrastructure that supports advanced data science initiatives, including recommendation systems, forecasting models, and AI tools for book discovery. This role is critical in enabling data scientists to efficiently deploy machine learning models to production within a dedicated AWS environment, thereby directly impacting the organization's ability to innovate and improve reader experiences.

Responsibilities:

• Design and manage core AWS environment components supporting data science products.
• Establish standards, including reviews, tests, and guardrails, for infrastructure changes by personnel and AI agents.
• Develop self-service production pathways such as CI/CD pipelines and automated promotion gates for scientists.
• Maintain security, compliance, and reliability of cloud environments.
• Define platform roadmap by identifying infrastructure priorities and communicating progress to stakeholders.

Requirements:

• Minimum 5 years experience building and operating production systems.
• Proven experience designing infrastructure or tooling adopted by engineering teams.
• Hands-on experience with cloud platforms, preferably AWS.
• Proficiency in leveraging AI agents for system building and operation.
• Strong communication skills for collaboration with data scientists and engineers.
• Experience managing infrastructure for machine learning or data-intensive production workloads.

Preferred Qualifications:

• Experience defining service level objectives or agreements and managing cloud costs for ML systems.
• Experience with evaluation or error analysis of ML or large language models in production.

Pay Range and Compensation Package:

• Salary range for this position is $185,000 to $210,000.
• Eligible for an annual profit award or bonus subject to organizational results.

Benefits & Perks:

• Medical and prescription drug insurance.
• Dental insurance.
• Vision insurance.
• Health Care and Dependent Care Flexible Spending Accounts.
• Health Savings Account.
• Pre-Tax and Roth 401(k) plans.
• Short and Long-Term Disability Insurance.
• Life and AD&D Insurance.
• Commuter benefits.
• Student Loan Repayment Program.
• Educational Assistance.
• Generous paid time off.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.