Senior ML Engineer- Distillation
Tasks
- Build data curation and synthetic data pipelines
- Define model input output preprocessing and postprocessing
- Drive knowledge distillation for production models
- Implement quantization aware training and model compression
- Integrate ML inference into production rendering pipelines
- Mentor engineers and conduct code reviews
- Optimize ML architectures for efficient inference
- Perform inference optimization with TensorRT and CUDA
- Profile latency throughput and memory metrics
- Set up experiment tracking and model CI CD
Perks/Benefits
- N/A
Skills/Tech-stack
Anti-aliasing | C++ | CI/CD | CUDA | CUDA Kernel Profiling | CUDA kernel | CUDNN | Computer Graphics | Containerization | Distributed Training | Experiment tracking | Fid | JAX | KID | Kernel profiling | Knowledge Distillation | LPIPS | Mixed Precision | Model Compression | Model Registry | Nsight | ONNX | ONNX Runtime | Operator fusion | PSNR | Pruning | PyTorch | Python | Quantization | Quantization aware training | Rendering pipelines | SSIM | Sampling | Shaders | Sparsity | TensorFlow | TensorRT | Tone Mapping | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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