AI Research Scientist, SysML
Tasks
- Apply responsible ethical AI practices
- Co-design ML accelerator and system architecture solutions
- Conduct research interpret papers and contribute to patents and publications
- Define use cases and develop methodologies and benchmarks
- Develop compute and power efficient training and on-device inference for vision and language models
- Evaluate trade-offs in performance power and latency to recommend designs
- Identify and solve ML acceleration problems across algorithms network design and hardware architecture
- Implement model compression and scalability techniques
- Optimize models on hardware accelerators for latency and power constraints
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Bias Mitigation | C++ | Computer Vision | Hardware acceleration | Hardware-Aware Machine Learning | Knowledge Distillation | Language Models | Latency optimization | ML Systems | Machine Learning | Machine Learning Compilers | Model Compression | Model Scalability | Neural Networks | Numerical Methods | On-device Inference | Power Optimization | Pruning | PyTorch | Python | Responsible AI | TensorFlow | Training
Education
Roles
Regions
Countries
States
Cities
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