Design, build, and maintain federated ML platform on Vertex AI and Kubernetes.
Contribute to Python SDK enabling data scientists to develop and deploy models.
Build feature stores and feature engineering services (Vertex featurestore, Chronon, Databricks, Tecton).
Design training data pipelines and centralized modeling data stores; integrate labeling tools.
Provide on-call support and collaborate with cross-functional stakeholders to drive value.
Monitor platforms and data pipelines; enable scoring and monitoring at scale.

🎯 Requirements

MS in CS/Math/Stats/ML or related quantitative field.
7+ years in ML/DS; experience in hyper-growth consumer Internet is a plus.
Architect ML systems; stay ahead of trends, integrate GenAI.
Programming: Python, Java, SQL.
Deep learning frameworks: TensorFlow, PyTorch.

🎁 Benefits

Medical and Dental Coverage
Retirement Plan
Commuter Benefits
Wellness perks
Paid Time Off (vacation, sick)
Education Perks

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