Dandy is hiring a Senior Software Engineer II to build the foundational infrastructure of our ML Platform. You will be the critical bridge between state-of-the-art Computer Vision research and production-grade reliability, designing and scaling systems for massive 3D datasets and complex training pipelines.
What You'll Do
- Collaborate with Machine Learning Engineers to build 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.
What We're Looking For
- 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).
Nice to Have
- Experience with 3D geometric computer vision is a plus.
Technical Stack
- Cloud: GCP, AWS, Azure
- Orchestration: Kubernetes, Docker
- Languages & Frameworks: Python, PyTorch, TensorFlow
- Tools: Buildkite
Benefits & Compensation
- Healthcare
- Dental
- Mental health support
- Parental planning resources
- Retirement savings options
- Generous paid time off
Work Mode
This is a local-country position based in Brazil.
Dandy is proud to be an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
