Multimodal AI Engineer, Document Understanding
Tasks
- Build data pipelines evaluation frameworks and experimentation infrastructure
- Design and implement production machine learning systems at scale
- Develop machine learning models for document structure understanding
- Evaluate vision language models for document AI
- Integrate machine learning innovations into production APIs
- Stay current with vision language models document AI and multimodal learning
- Train fine tune and deploy machine learning models for multimodal document understanding
Perks/Benefits
- Access to compute resources and research tools
- Catered lunch and snacks
- Conference budget
- Hybrid work options
- Medical, dental, and vision coverage
- Professional development budget
- Unlimited paid time off
Skills/Tech-stack
Benchmarking | Computer Vision | Data Pipelines | Distillation | Distributed Systems | Docker | Evaluation Frameworks | Fine Tuning | Kubernetes | Language Models | Language Processing | Layout analysis | Linux | MLOps | Machine Learning | Model Fine-tuning | Model Serving | Model Training | Multimodal Learning | Natural Language | Natural Language Processing | OCR | ONNX | Pruning | Python | Quantization | RAG | REST APIs | TensorRT | Transformers | VLLM | Vision Language Models | Vision-language
Education
N/A
Regions
Countries
States
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