OptiTrack 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.
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 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
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)
