Collaborate with ML Engineers to build ML training pipelines for 3D datasets.
Streamline the ML lifecycle from data labeling to deployment, reducing debt.
Develop and maintain cloud-native systems and tooling (GCP/Kubernetes) for 3D dental products.
Write clean, maintainable code and tests that set internal standards.
Partner with Engineering stakeholders to influence long-term architectural goals.

🎯 Requirements

5+ years of experience as ML or Software Engineer.
Deep proficiency in ML Platform components (feature stores, registries, distributed training).
Python ML frameworks (PyTorch/TensorFlow); 3D CV is a plus.
Large-scale data processing and ML data pipelines.
Build automation (Buildkite) and metrics/logging/tracing for distributed systems.
New York City area candidates: hybrid 3 days/week at HQ in NYC.

🎁 Benefits

Healthcare, dental, mental health support
Parental planning resources
Retirement savings options
Generous paid time off

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