Staff ML Engineer

The Staff Machine Learning Engineer leads technical implementation and adoption of AI Platform capabilities within an embedded product team while serving as a technical leader and mentor for other Machine Learning Engineers. Actively contributes to AI Platform and operations development through hands-on coding while establishing best practices, standardizing implementation patterns, and driving platform adoption. Advocates for platform solutions, ensuring consistent application of engineering standards, and accelerating AI delivery through effective platform usage and technical mentorship.

Hands-on experience implementing and scaling model CI/CD pipelines - RequiredExperience with modern Python development practices including type checking, testing frameworks, and package management - RequiredExperience with modern Python development practices including type checking and testing - RequiredHistory of successful collaboration with product teams – RequiredHistory of successful collaboration with product teams - RequiredUnderstanding of ML Development Lifecycle management and MLOps best practices - RequiredUnderstanding of ML Monitoring and observability - RequiredExperience with LLMs and Infrastructure - PreferredExperience integrating with feature stores, feature caches and model serving platforms - PreferredDeep understanding of ML/AI platform tooling and patterns - PreferredExperience with Distributed model training - PreferredHands on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators - PreferredHands on experience and knowledge of ML/AI metadata tools and model registries - PreferredDeep hands-on experience with Terraform or other IaC tools - PreferredHands on experience building ML/AI solutions on GCP and Vertex AI - Preferred