Applied Scientist II
Seattle, Washington, United States
USD 167K-220K Mid-level Full Time
Tasks
- Apply reinforcement learning for real world use cases
- Build predictive machine learning models
- Collaborate with engineers product managers and specialists
- Conduct computer vision research
- Deploy and maintain scalable production machine learning systems
- Design build and evaluate agentic AI systems
- Develop and optimize generative AI applications
- Lead design reviews and modeling discussions
- Manage machine learning model lifecycle
- Perform natural language processing research
- Publish research findings and papers
Perks/Benefits
Skills/Tech-stack
Agentic AI | Amazon SageMaker | Computer Vision | Deep learning | Generative AI | Information Retrieval | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Speech Processing | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Roles
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