Machine Learning Engineer
Core
Deploying and maintaining machine learning models for image and video generation, enhancement, and quality control within production workflows.
Role type
Mid/Senior applied machine learning engineer (generative AI)
Builds
Production inference services for image/video generation and quality control
Domain
Generative AI, Computer Vision, Media Production
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, model deployment, diffusion models, video processing, Docker, Kubernetes, experiment tracking, ML observability
Preferred skills
Fine-tuning generative models, A/B testing, cost-quality trade-off analysis, converting research prototypes to production
Technologies
PyTorch, TensorFlow, Docker, Kubernetes, Weights & Biases, MLflow
Responsibilities
Integrate third-party and open-source models for image/video generation and quality control; Fine-tune or adapt models for style preservation, character identity, and motion control; Design and operate inference services with autoscaling and performance monitoring; Collaborate on model selection and parameter optimization; Convert research prototypes into stable production services
Seniority
Mid/Senior, hands-on IC
