Dandy Dental Lab logo
Dandy Dental Lab

Dandy oversees a platform created to help modernize the dental lab process. The company’s platform is designed to make the entire process digital from start t

Senior Software Engineer – ML Platform

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorCompany Site

Location

United States

Posted

16 days ago

Salary

$181K - $213K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

Job Description

• 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.

Job 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

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