About the job
OptiTrack builds motion capture systems used in animation, robotics, biomechanics, virtual production, and industrial environments. The team focuses on delivering accurate tracking solutions for a wide range of technical applications.
Role overview
The Machine Learning & Operations Engineer will help design, automate, and scale OptiTrack’s MLOps infrastructure. This remote position is open to candidates based in Miami, Florida, or anywhere in the United States. The role centers on supporting machine learning initiatives by working closely with research and engineering teams, automating workflows, and ensuring robust deployment of ML models.
What you will do
- Create and maintain automated pipelines for machine learning training processes.
- Develop infrastructure for distributed experiments at scale.
- Build and improve CI/CD workflows tailored for ML systems.
- Manage data ingestion, preprocessing, validation, and handle model versioning.
- Implement tools for experiment tracking, hyperparameter tuning, and reproducibility.
- Optimize GPU and compute resources across both cloud and on-premises setups.
- Deploy, monitor, and maintain production machine learning models.
- Establish MLOps best practices, including model registry, artifact management, and observability.
- Enhance reliability, performance, and security of ML systems.
- Collaborate with machine learning researchers to prepare new algorithms for production deployment.
- Support additional DevOps tasks related to software development as needed.
Location
This is a fully remote role. Candidates may work from Miami, Florida, or anywhere in the United States.
