Senior Engineer (ML Engineer)
Tasks
- Analyze benchmark results
- Benchmark machine learning models and frameworks
- Build automated testing pipelines
- Build benchmarking pipelines
- Collaborate with software teams on test coverage
- Debug functional issues in ML systems
- Debug performance issues in ML systems
- Develop Python tooling for testing and reporting
- Own testing and infrastructure roadmap
- Validate model functionality and performance
Perks/Benefits
- Dental plan
- Employee assistance programme
- Flexible working
- Generous annual leave
- Generous parental leave
- Health cash plan
- Healthy food and snacks
- Income protection
- Life assurance
- Pension matched
- Private medical insurance
Skills/Tech-stack
Automation | Benchmarking | CI/CD | Debugging | Distributed Training | Distributed inference | JAX | Linux | MLOps | Machine Learning | Model Benchmarking | Model Deployment | Neural Networks | Numerical precision | Performance Profiling | PyTorch | Python | TensorFlow | Testing
Education
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