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

Penguin Random House US•New York, NY
•$185,000 - $210,000•Remote

About The Position

The Data Science team at Penguin Random House builds recommendation systems, forecasting models, and AI-powered tools that shape how readers discover books. The team develops and operates these systems end-to-end, from research through production, and is building a dedicated AWS cloud environment and ML platforms to help scientists deliver models to production quickly. The Senior Infrastructure Engineer will build and maintain the foundational systems supporting this work, building on a mature MLOps foundation and working closely with AI to evolve and run the cloud platform. The role is open to remote work.

Requirements

  • At least 5 years of experience building and running production systems.
  • A track record of designing infrastructure components or tooling adopted by other engineers or teams.
  • Hands-on cloud experience; AWS is preferred.
  • Ability to use AI agents to build and operate systems, with examples of work 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.

Nice To Haves

  • Experience defining SLOs or SLAs and managing cloud costs for ML production systems.
  • Experience with evaluation or error analysis of ML or LLM systems in production.

Responsibilities

  • 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, so scientists can ship models without hand-holding.
  • Help maintain the security, compliance, and reliability of cloud environments.
  • Shape the platform roadmap by identifying infrastructure work that will most unblock scientists and keeping stakeholders informed as it progresses.

Benefits

  • Annual profit award or bonus, subject to company results.
  • 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).
  • Short- and long-term disability insurance.
  • Life and AD&D insurance.
  • Commuter benefits.
  • Student loan repayment program.
  • Educational assistance.
  • Generous paid time off.
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