Data Scientist, New Grad - Model Optimization
Burlingame, California, United States
USD 120K-160K Entry-level Full Time
Tasks
- Build and maintain numerical accuracy testing infrastructure
- Collaborate with graph compiler kernel and hardware teams
- Debug neural network accuracy issues on GPNPU
- Develop quantization workflows for vision and language models
- Extend quantization library with new operators observers and algorithms
- Investigate per layer numerical error and accuracy regressions
- Propose calibration PTQ and QAT strategies to recover accuracy
Perks/Benefits
- 401k
- Commuter benefits
- Company lunches
- Dental insurance
- Flexible paid time off
- Medical insurance
- Stocked kitchen
- Vision insurance
Skills/Tech-stack
Accuracy testing | CNNs | Fixed point | Fixed-point arithmetic | MLIR | Matplotlib | Neural Networks | NumPy | Numerical Accuracy Testing | Numerical accuracy | ONNX Runtime | Plotly | Post-training | Post-training Quantization | PyTorch | PyTorch FX | Python | Quantization | Quantization aware training | TVM | TensorFlow | Transformers
Education
Roles
Regions
Countries
States
Cities
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