Salary Salary not provided Related skills python kubernetes gcp tensorflow pytorch ???? DescriptionCollaborate 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.???? Requirements5+ 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.???? BenefitsHealthcare and dental benefitsMental health supportParental planning resourcesRetirement savings optionsGenerous paid time off Meet JobCopilot: Your Personal AI Job Hunter Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters. Help us maintain the quality of jobs posted on Empllo! Is this position not a remote job? Let us know!