Scale AI
Senior / Staff Machine Learning Research Scientist, Agents
- San Francisco, United States · On-site
- $302.4–378K / year
- Posted last year
From Scale AI's careers page (Greenhouse)
What they ask for vs. your profile
- LLMsNot on your profile
- PyTorchNot on your profile
- Machine learningNot on your profile
- AWSVerified on your profile
- GCPNot on your profile
- TensorFlowNot on your profile
Close the gap for free
LLMs
- Free course
- LLM Course, Hugging Face
- Videos
- LLMs lessons on YouTube
- Book
- Build a Large Language Model (From Scratch) (Raschka)
PyTorch
- Free course
- Practical Deep Learning for Coders, fast.ai
- Book
- Deep Learning with PyTorch (Stevens, Antiga, Viehmann)
Machine learning
- Free course
- Machine Learning Crash Course, Google
- Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Géron)
GCP
- Free course
- Google Cloud Skills Boost, Google
- Videos
- GCP lessons on YouTube
- Book
- Fundamentals of Data Engineering (Reis, Housley)
TensorFlow
- Free course
- TensorFlow tutorials, tensorflow.org
- Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Géron)
About the role
About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents.
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