Dandy

Senior Software Engineer II, ML Platform

Dandy

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

  • 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.
  • Experience with Python-based ML frameworks (e.g., PyTorch, TensorFlow); experience with 3D geometric computer vision is a plus
Benefits
  • healthcare
  • dental
  • mental health support
  • parental planning resources
  • retirement savings options
  • generous paid time off
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningML training pipelinesdata labelingcloud-native systemsGCPKubernetesDockerPythonPyTorchTensorFlow
Soft Skills
collaborationcommunicationproblem-solvinginfluencingpragmatic solutions