Senior Machine Learning Engineer (Large Systems)
Tasks
- Benchmark models and machine learning techniques
- Build and test AI hardware next generation systems
- Collaborate with research and software teams
- Conduct code reviews
- Design and execute machine learning experiments
- Develop machine learning models
- Engage with AI community
- Evaluate experimental results
- Improve model efficiency by identifying bottlenecks
- Optimize models for performance and accuracy
- Provide feedback to software engineering teams
- Scale training and inference to accelerators
- Test and evaluate software releases
Perks/Benefits
- Annual leave
- Barista bar
- Dental plan
- Employee assistance programme
- Flexible working
- Health cash plan
- Healthy food and snacks
- Inclusive work environment
- Income protection
- Life assurance
- Parental leave
- Pension match
- Private medical insurance
Skills/Tech-stack
Benchmarking | Bottleneck analysis | C plus plus | CUDA | Cloud Computing | Deep learning | Distributed Training | Distributed inference | Experimentation | HPC | Infiniband | JAX | Kernel optimization | Kubernetes | Low Precision | Low-precision computing | MLOps | Model Optimization | NVLink | Performance Bottleneck | Performance bottleneck analysis | Precision computing | PyTorch | Python | RoCE | Triton
Education
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