Senior Machine Learning Engineer (Large Systems)
Tasks
- Benchmark models and ML techniques
- Collaborate with research, software, and product teams
- Conduct code reviews
- Define build and test AI hardware software integrations
- Design conduct evaluate ML experiments
- Engage with AI community keep updated on AI developments
- Identify performance bottlenecks
- Implement machine learning models
- Improve model efficiency
- Optimize model performance accuracy
- Provide feedback to software engineering teams
- Scale training and inference to accelerators
- Test evaluate internal software releases
Perks/Benefits
- Annual leave
- Dental plan
- Employee assistance programme
- Flexible working
- Health cash plan
- Healthy food and snacks
- Income protection
- Life assurance
- Parental leave
- Pension
- Private medical insurance
Skills/Tech-stack
Benchmarking | C++ | CUDA | Cloud Computing | Deep learning | Distributed Training | Distributed inference | Experiment design | HPC | Infiniband | JAX | Kernel optimization | Kubernetes | Language Models | Large Language Models | Low Precision | Low-precision Arithmetic | MLOps | Machine Learning | Model Optimization | NVLink | PyTorch | Python | RoCE | Triton
Education
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