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python kubernetes gcp tensorflow pytorch📋 Description
- Collaborate with ML Engineers to build ML training pipelines for 3D data.
- Streamline the ML lifecycle from labeling to deployment, reducing technical debt.
- Develop and maintain cloud-native systems (GCP/Kubernetes) for 3D dental products.
- Write clean, maintainable code and tests that set internal standards.
- Partner with Engineering to influence long-term architectural goals and maintain a high-quality bar.
🎯 Requirements
- 5+ years as ML or Software Engineer, startup experience preferred.
- Proficient with ML platform components: feature stores, registries, and distributed training.
- Python ML frameworks (PyTorch/TensorFlow); 3D CV a plus.
- Deep expertise in large-scale data processing and ML data pipelines.
- Experience automating builds across environments (Buildkite).
- Strong metrics, logging, and tracing for distributed systems.
- Able to communicate architectural problems clearly and pragmatically.
🎁 Benefits
- Healthcare and dental benefits
- Mental health support
- Parental planning resources
- Retirement savings options
- Generous paid time off
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