Principal Applied Scientist- AI
Tasks
- Analyze large-scale datasets
- Architect experiments and run benchmarking
- Collaborate with engineering product and research teams to integrate ML systems
- Define and drive scalable ML infrastructure roadmap
- Develop machine learning and deep learning systems for production
- Innovate in NLP NLU NLG computer vision and multimodal learning
- Lead machine learning research and development
- Mentor scientists and engineers
- Share research insights and influence research strategy
Perks/Benefits
Skills/Tech-stack
Cloud Computing | Computer Vision | Data benchmarking | Deep learning | JAX | Language Processing | Large-scale | Large-scale Datasets | Machine Learning | Machine Learning Ops | Multimodal Learning | NLG | NLP | NLU | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | TensorFlow
Education
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