Senior Infrastructure Engineer, AI & ML

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🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $185k - $210k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 0%

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Bertelsmann SE & Co. KGaA

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Bertelsmann SE & Co. KGaA is a global media and education company that has evolved from a small book publisher founded in 1835 into a diverse organization with over 80,000 employees worldwide. The company operates various business units, including the RTL Group, Penguin Random House, BMG, Arvato Group, Bertelsmann Marketing Services, and Bertelsmann Education Group, which offer job opportunities across about 50 countries. Bertelsmann is dedicated to fostering an equitable and inclusive workplace, encouraging personal initiative, creativity, and diverse perspectives among its workforce.

📋 Description

• Build and maintain foundational systems supporting Penguin Random House’s data science work • Design and own core components of the AWS environment used across data science products • Set standards for how people and AI agents change infrastructure, including reviews, tests and guardrails • Build self-service paths to production for scientists, including CI/CD pipelines, promotion gates and automated triggers • Help maintain the security, compliance and reliability of cloud environments • Shape the platform roadmap by identifying infrastructure work that will unblock scientists • Keep stakeholders informed as platform work progresses • Work closely with AI to evolve and run the cloud platform

🎯 Requirements

• 5+ years building and running production systems • Track record of designing infrastructure components or tooling adopted by other engineers or teams • Hands-on cloud experience (AWS preferred) • Ability to use AI agents to build and operate systems, with demonstrable shipped work • 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 • Experience defining SLOs or SLAs and managing cloud cost for ML production systems (preferred) • Experience with evaluation or error analysis of ML or LLM systems in production (preferred) • Resume and cover letter required for consideration

🏖️ Benefits

• Annual profit award or bonus, subject to Company results • Medical/Prescription drug insurance • Dental insurance • Vision insurance • 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

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