AI Research Engineer, Computer Vision
Tasks
- Build and maintain data pipelines for image and video datasets
- Build and maintain evaluation pipelines for image and video quality
- Compress models using quantization pruning distillation
- Implement diffusion and transformer model architectures
- Implement paper based model improvements
- Profile and optimize training speed GPU memory and inference latency
- Set up human annotation workflows using AWS GroundTruth
- Stabilize training and resolve loss spikes
- Train and debug large scale multi GPU models
- Use acceleration toolchains for performance optimization
Perks/Benefits
- 401k retirement plan
- Company equity
- Dental insurance
- Fertility support
- Human Annotation Support
- Medical insurance
- One Medical membership
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Autoregressive models | CUDA | DDP | Data Pipelines | DeepSpeed | Diffusion Models | Distributed Training | FSDP | Flow-based models | GPU Profiling | Image Processing | Knowledge Distillation | Model Compression | Multi-GPU | Multi-node | ONNX | Pruning | PyTorch | Quantization | TensorRT | Torch compile | Transformers | Triton | Variational Autoencoders | Video Processing
Education
N/A
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