Machine Learning Engineer 4 - Manager IC
Core
Build and evolve high-throughput, multi-tenant training platforms and infrastructure for classical ML and GenAI fine-tuning, integrating agentic AI into engineering lifecycles.
Role type
Senior IC Machine Learning Engineer (ML Infrastructure & Platform)
Builds
Internal Python/Go SDKs, custom Kubernetes operators, developer tooling, and upstream open-source Kubeflow contributions.
Domain
Cloud-native ML infrastructure, distributed computing, and MLOps.
Deliverable
infrastructure
Required skills
Python, Go, Kubernetes, PyTorch, TensorFlow, Spark, Ray, CI/CD, model deployment, distributed systems architecture
Preferred skills
Kubeflow, Docker, Transformers, CNNs, RNNs, blue/green deployment, incident response, technical leadership
Technologies
Kubeflow, Amazon EKS, Ray, Spark, Dask, Kubernetes, Python, Go, PyTorch, TensorFlow, AWS
Responsibilities
Design and build ML models and components for business problems; Inform ML infrastructure decisions; Write and test application code; Collaborate in cross-functional Agile teams; Retrain and monitor production models; Construct optimized data pipelines; Ensure code management and model governance.
Seniority
Senior, hands-on IC with technical lead responsibilities
