Senior Machine Learning Engineer (Large Systems)
Tasks
- Benchmark models to identify bottlenecks
- Collaborate with research, software, and product teams
- Conduct code reviews
- Design and run machine learning experiments
- Design build and test AI hardware software
- Engage with AI community
- Evaluate experimental results
- Implement distributed training and inference
- Implement machine learning models
- Optimize model performance and accuracy
- Provide feedback to software engineering teams
- Scale models to 1000s of accelerators
- Test new internal software releases
Perks/Benefits
- Dental plan
- Employee assistance programme
- Equal opportunity support
- Flexible working
- Generous annual leave
- Generous parental leave
- Health cash plan
- Healthy food and snacks
- Income protection
- Interview flexibility
- Life assurance
- Pension match
- Private medical insurance
Skills/Tech-stack
C plus plus | CUDA | Cloud Computing | Deep learning | Distributed Training | Distributed inference | Experimentation | HPC | Infiniband | JAX | Kernel optimization | Kubernetes | Language Models | Large Language Models | Low Precision | Low-precision computing | MLOps | Model Benchmarking | NVLink | Open Source | Precision computing | PyTorch | Python | RoCE | Triton
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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