Deep Learning Research Engineer
AI
Plumerai is seeking a Deep Learning Research Engineer to develop state-of-the-art AI products for camera devices. The role involves improving training algorithms, integrating multimodal LLMs, building data pipelines, and designing model architectures. Candidates should have strong Python skills and experience with computer vision and multimodal LLMs.
What you'll do
- Use and improve multimodal LLMs to achieve new functionality for customers and optimize their deployments (cloud and edge).
- Train and design more accurate models, while enabling new and more complex AI applications on low-cost and low-power hardware.
- Improve data pipeline, model architectures, and training software.
- Use Kubernetes cluster to deploy PyTorch and TensorFlow training jobs, Snowflake and Dataflow to build datasets, tools like Streamlit to prototype new demos, and GPUs on GCP for training new models and auto-labeling data.
What you need
Must-have
PythonPyTorchTensorFlowKerasJAXComputer VisionMultimodal LLMsKubernetes
Nice-to-have
Deep Reinforcement LearningEfficient Inference Deployments
Deep LearningComputer VisionMultimodal LLMsPythonPyTorchTensorFlowAIOn-siteFull-timeAmsterdam