onsite
ML Engineer, Agentic Systems - Mirage
ML Engineer
ML Engineer focused on generative media and video editing, building AI models that understand context and produce professional‑level edits using Python, PyTorch, TensorFlow, and advanced NLP techniques.
About the role
Key Responsibilities
- Design, train, and deploy generative models that interpret natural language prompts to automate video production and editing.
- Develop end‑to‑end pipelines integrating computer vision, NLP, and audio processing for real‑time creative decision making.
- Collaborate with research and product teams to iterate on model architecture, loss functions, and evaluation metrics.
- Optimize models for scalability on cloud infrastructure (AWS) and ensure efficient inference on edge devices.
- Document experiments, maintain reproducible codebases, and contribute to open‑source tooling where appropriate.
Requirements
- Strong background in machine learning with hands‑on experience in PyTorch or TensorFlow.
- Proficiency in Python, OpenCV, and video/audio processing libraries.
- Experience with NLP techniques (transformers, attention mechanisms) applied to multimodal data.
- Knowledge of generative modeling (GANs, diffusion models) and model compression.
- Familiarity with AWS services (S3, SageMaker, Lambda) and CI/CD pipelines.
Skills
pythonpytorchtensorflowopencvnatural language processingaws