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Senior Software Engineer II, ML Platform

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Dandy

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Location:
Brazil

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Dandy is building the operating system for dental offices around the world. As a Senior Software Engineer, you will build the foundation of our ML Platform, acting as the bridge between SoTA Computer Vision research and production-grade reliability. You will design and scale the infrastructure that handles massive 3D datasets, orchestrates complex training pipelines, and ensures our generative models are deployed with high reliability.

Job Responsibility:

  • Collaborate with Machine Learning Engineers to build the ML training pipelines that process massive 3D datasets, orchestrate model training, and enable continuous model improvements
  • Streamline the ML lifecycle, from data labeling and experimentation to deployment, by optimizing internal ML components and reducing technical debt
  • Develop and maintain cloud-native systems and tooling (GCP/Kubernetes) that support Dandy’s 3D dental products in a secure, well-tested, and high-performing manner
  • Write clean, maintainable code and tests that set the standard for our internal best practices
  • Partner with stakeholders across the Engineering organization to influence long-term architectural goals and maintain a high-quality bar

Requirements:

  • 5+ years of experience as a Machine Learning Engineer or Software Engineer, ideally within a high-growth startup environment
  • Deep proficiency in building and operating ML platform components, including feature stores, model registries, distributed training infrastructure, and experiment tracking
  • Experience designing and running ML systems on cloud infrastructure, including containerization and orchestration technologies such as Docker and Kubernetes, and public cloud platforms (AWS or GCP or Azure)
  • Expertise in large-scale data processing, with proven experience building reliable ML data pipelines to support complex model training and evaluation
  • Experience creating and maintaining automated build, test, and deployment workflows across multiple environments (e.g., Buildkite, CI/CD pipelines)
  • Strong background in observability, including implementing metrics, logging, and tracing for complex, distributed production systems
  • Ability to communicate clearly and concisely about complex architectural problems and propose iterative, pragmatic solutions

Nice to have:

  • Experience with Python-based ML frameworks (e.g., PyTorch, TensorFlow)
  • experience with 3D geometric computer vision is a plus
What we offer:
  • Healthcare
  • dental
  • mental health support
  • parental planning resources
  • retirement savings options
  • generous paid time off

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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