Senior Machine Learning Engineer (Large Systems)
Tasks
- Benchmark models and techniques
- Collaborate with teams to define build and test AI hardware software
- Contribute to distributed training and inference systems
- Design and conduct ML experiments
- Develop machine learning models
- Develop reference applications and software libraries
- Evaluate experimental results
- Identify performance bottlenecks
- Implement novel AI methods
- Optimize model performance and accuracy
- Scale models to accelerators
- Test and evaluate internal software releases
Perks/Benefits
- Annual leave
- Bereavement Support
- Dental plan
- Employee assistance programme
- Equal opportunity process
- Flexible working
- Health & mental wellbeing support
- Health cash plan
- Healthy food and snacks
- Income protection
- Life assurance
- Parental leave
- Pension matching
- Private medical insurance
Skills/Tech-stack
Benchmarking | C++ | CUDA | CUDA kernels | Cloud Computing | Deep learning | Distributed Training | Distributed inference | Experimentation | HPC | Infiniband | JAX | Kubernetes | Language Models | Large Language Models | Low Precision | Low-precision Arithmetic | MLOps | Model Optimization | NVLink | Open Source | PyTorch | Python | Research | RoCE | Triton
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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