Machine Learning & Operations Engineer

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.About The RoleOptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning. This role sits at the intersection of machine learning engineering and infrastructure, focusing on automation of data validation pipelines, orchestration of large-scale experiments, and deployment of high-performance algorithms.This is a fully remote position, working cross-functionally with research and engineering teams.What You'll DoDesign and maintain automated ML training pipelinesBuild infrastructure for large-scale distributed experimentationDevelop CI/CD workflows tailored for machine learning systemsOrchestrate data ingestion, preprocessing, validation, and model versioningImplement experiment tracking, hyperparameter tuning automation, and reproducibility systemsOptimize GPU/compute utilization across cloud and on-prem environmentsDeploy, monitor, and maintain production ML models Establish and enforce MLOps best practices including model registry, artifact management, and observabilityImprove system reliability, performance, and securityCollaborate closely with ML researchers make new algorithms product readyMore typical DevOps responsibilities for software development as requiredRequirementsRequired Qualifications3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experienceExperience with Python and ML frameworks (PyTorch, TensorFlow, or similar)Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)Hands-on experience with containerization (Docker) and orchestrationExperience managing GPU workloads and distributed training systemsExperience with cloud platforms (AWS, GCP, or Azure)Strong understanding of automation, infrastructure reliability, and data pipelinesAbility to work with both European and US developers. Preferred QualificationsExperience with motion capture or computer vision systemsFamiliarity with experiment tracking tools (MLflow, Weights & Biases, etc.)Background in distributed systems or high-performance computingExperience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow)Infrastructure as Code experience (Terraform, Pulumi, CloudFormation)Experience with model optimization, inference acceleration, or edge deploymentExperience building tracking algorithms for device localization using techniques like SLAMStrong problem-solving skills and attention to reproducibilityComfortable working in a remote, collaborative environment, with international team membersClear communicator who can bridge research and production engineeringPassion for building scalable AI infrastructureWhy Join OptiTrack?Work on cutting-edge motion tracking systemsContribute to technology used across robotics, animation, virtual reality, biomechanics, and virtual productionRemote-first flexibilityOpportunity to shape the next-generation of motion capture technologyBenefitsAll benefits start on first day of employment!75% employer-paid medical for employee. Family coverage also included. 100% employer paid dental, and vision for employee and dependents100% employer paid long-term, short-term disability, and life insurance policy401k Match, if you're contributing 5% we match 4%. 100% vested immediately10 paid holidaysStarting at 15 days paid PTO (inclusive of sick and vacation time) annuallyEmployee Assistance Program (EAP)Flexible Spending Account (FSA)EEOC Statement:OptiTrack is an equal opportunity employer, we believe in fostering a culture of equality, diversity, and inclusivity. Our commitment to this goal is clearly expressed in our zero-tolerance policy for discrimination and harassment of any kind, including on the basis of race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, protected veteran status or any other characteristic protected by applicable federal, state, or local laws. Our hiring practices ensure that decisions are based solely on qualifications, merit, and current business needs, while extending to all aspects of our operations - from recruitment and promotion to layoff and recall, to leave of absence, compensation, benefits, and training. We are committed to remaining a drug free workplace