MLOps Engineer

Core Weave is The Essential Cloud for AI. Built for pioneers by pioneers Core Weave delivers a platform of technology tools and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs startups and global enterprises Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017 Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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What Youll Do:

Core Weaves Physical AI Platform Engineering team builds and scales the data and workflow backbone powering advanced engineering simulation and AI workflows. Our ambition is to become the super-intelligent AI test lab for the engineering industry delivering the performant reliable and trustworthy data foundation trusted by the worlds largest engineering companies.

About the role:

As an MLOps Engineer on the Physical AI team you will serve as the hands-on owner for our machine learning operations surface across the end-to-end model lifecyclefrom experimentation and training through to packaging deployment serving and retirement. You will define and roll out MLOps practices establish operational SLOs/SLAs and build automated CI/CD and continuous training pipelines to accelerate the path from experiment to supported production this role you will implement comprehensive model observability data versioning and drift monitoring while ensuring robust security and governance controls.

Additionally you will partner closely with product data science and core infrastructure teams to optimize GPU compute utilization resolve cross-boundary platform incidents and mentor engineers on production-grade ML practices.

• 56 years of professional experience in MLOps ML platform engineering ML infrastructure or SRE/Dev Ops for production machine learning systems.
• Proven experience building operating and automating production ML pipelines covering experiment tracking model registries artifact versioning dataset management and deployment workflows.
• Deep hands-on experience implementing observability for ML systems including monitoring inference availability latency throughput GPU/resource utilization and data or model drift.
• Strong background in reliability engineering including defining operational SLOs writing runbooks building automated remediation and managing incident response for ML workloads.
• Proficient in Python for platform tooling infrastructure integration and pipeline automation alongside strong infrastructure-as-code and CI/CD practices.
• Comfortable operating containerised cloud-native environments using Kubernetes and public cloud platforms.
• Excellent technical communication and cross-functional collaboration skills with a track record of bridging data science and platform engineering teams.

Preferred:

• Experience as an early or founding MLOps engineer establishing ML platform architecture standards and operating models from the ground up.
• Hands-on experience operating ML workloads on Kubernetes with GPU infrastructure distributed training or large-scale inference engines.
• Experience with ML platforms handling test simulation or time-series data (e.g. physical test benches battery labs automotive/aerospace R&D) within multi-tenant SaaS environments.

Wondering if youre a good fit

We believe in investing in our people and value candidates who can bring their own diversified experiences to our teamseven if you arent a 100% skill or experience match. Here are a few qualities weve found compatible with our team. If some of this describes you wed love to talk.

• You love to make the path from ML experiment to production reliable reproducible and effortless to operate.
• Youre curious about mapping complex system interactions between data models and GPU infrastructure to design for rapid recovery.
• Youre an expert in establishing MLOps best practices automating model delivery pipelines and mentoring data scientists on production readiness.

At Core Weave we work hard have fun and move fast! Were in an exciting stage of hyper-growth that you will…