Senior Infrastructure Engineer, AI & ML
New
P
Penguin Random HouseAI/ML infrastructure
United StatesFull-TimeSenior
SalaryThe salary range for this position is $185,000-$210,000.
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Job Details
- Experience
- 5+ years building and running production systems.
- Required Skills
- AWSCI/CDMLOps
Requirements
- Have 5+ years of experience building and running production systems.
- Have designed infrastructure components or tooling adopted by other engineers or teams.
- Bring hands-on cloud experience; AWS is preferred.
- Have experience running infrastructure for ML or data-intensive workloads in production, such as model training, batch scoring, or model serving.
- Be able to use AI agents to build and operate systems and show work shipped this way.
- Have strong communication skills and the ability to work closely with data scientists and engineers.
- Experience defining SLOs or SLAs and managing cloud cost for ML production systems is preferred.
- Experience with evaluation or error analysis of ML or LLM systems in production is preferred.
Responsibilities
- Design and own core components of the AWS environment used across data science products.
- Set standards for infrastructure changes by people and AI agents, 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.
- Identify infrastructure work that will unblock scientists and shape the platform roadmap.
- Keep stakeholders informed as platform work progresses.
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