Machine Learning Engineer, Operations

🕒 April 24

🐊 Florida, New York – Remote

🐊 Florida – Remote 🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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OptiTrack

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2004

🔧 Hardware

🎮 Gaming

🥽 AR/VR

Hardware • Gaming • AR/VR

OptiTrack is a company that specializes in high-precision camera tracking and motion capture technology for a variety of applications. It provides tools for virtual production, enabling next-generation filmmaking with ultra-precise camera tracking. In the movement sciences domain, it offers flexible and easy-to-use tools for human movement analysis. OptiTrack is also active in virtual reality, providing low-latency, wide-area VR tracking solutions. Additionally, the company supports 6DoF tracking for drones, ground, and industrial robotics, and offers popular mocap tools for animation in film, gaming, and educational settings.

📋 Description

• Design and maintain automated ML training pipelines. • Build infrastructure for large-scale distributed experimentation. • Develop CI/CD workflows tailored for machine learning systems. • Orchestrate data ingestion, preprocessing, validation, and model versioning. • Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems. • Optimize GPU/compute utilization across cloud and on-prem environments. • Deploy, monitor, and maintain production ML models • Establish and enforce MLOps best practices including model registry, artifact management, and observability. • Improve system reliability, performance, and security. • Collaborate closely with ML researchers make new algorithms product ready. • More typical DevOps responsibilities for software development as required.

🎯 Requirements

• 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experience. • Experience 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 orchestration • Experience managing GPU workloads and distributed training systems • Experience with cloud platforms (AWS, GCP, or Azure) • Strong understanding of automation, infrastructure reliability, and data pipelines • Ability to work with both European and US developers. • Experience with motion capture or computer vision systems • Familiarity with experiment tracking tools (MLflow, Weights & Biases, etc.) • Background in distributed systems or high-performance computing • Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow) • Infrastructure as Code experience (Terraform, Pulumi, CloudFormation) • Experience with model optimization, inference acceleration, or edge deployment • Experience building tracking algorithms for device localization using techniques like SLAM • Strong problem-solving skills and attention to reproducibility • Comfortable working in a remote, collaborative environment, with international team members • Clear communicator who can bridge research and production engineering • Passion for building scalable AI infrastructure

🏖️ Benefits

• 75% employer-paid medical for employee. Family coverage also included. • 100% employer paid dental, and vision for employee and dependents • 100% employer paid long-term, short-term disability, and life insurance policy • 401k Match, if you’re contributing 5% we match 4%. 100% vested immediately. • 10 paid holidays • Starting at 15 days paid PTO (inclusive of sick and vacation time) annually • Employee Assistance Program (EAP) • Flexible Spending Account (FSA)