Machine Learning Engineer
Ship models to production with evaluation, monitoring, and governance.
Role responsibilities
You will bridge research and production — owning training, deployment, and continuous evaluation for models that power agentic and predictive experiences.
- Build training and batch/online inference pipelines with robust evaluation harnesses.
- Integrate with registries, feature stores, and observability for drift and quality.
- Automate retraining, approvals, and rollback aligned to risk policies.
- Collaborate with backend and product on latency, safety, and UX constraints.
Apply for this role
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