Lyft
Senior Machine Learning Engineer, Recommendations
- Toronto, Canada · On-site
- Salary not published
- Posted 3 months ago
From Lyft's careers page (Greenhouse)
What they ask for vs. your profile
- Machine learningNot on your profile
- LLMsNot on your profile
- PythonVerified on your profile
- GoNot on your profile
- PyTorchNot on your profile
- TensorFlowNot on your profile
Close the gap for free
Machine learning
- Free course
- Machine Learning Crash Course, Google
- Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Géron)
LLMs
- Free course
- LLM Course, Hugging Face
- Videos
- LLMs lessons on YouTube
- Book
- Build a Large Language Model (From Scratch) (Raschka)
Go
- Free course
- A Tour of Go, go.dev
- Videos
- Go lessons on YouTube
- Book
- The Go Programming Language (Donovan, Kernighan)
PyTorch
- Free course
- Practical Deep Learning for Coders, fast.ai
- Book
- Deep Learning with PyTorch (Stevens, Antiga, Viehmann)
TensorFlow
- Free course
- TensorFlow tutorials, tensorflow.org
- Book
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Géron)
About the role
We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems.
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