As a Software Engineer you will be responsible for the development of key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs on thousands of units daily.
- Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
- Solid understanding of machine learning algorithms and their practical application
- Knowledge of hardware/software validation hardware/software integration or testing methodologies
- Strong programming skills and hands-on experience with Python
- Experience with CoreML Swift and iOS/macOS machine learning development
- Experience with relevant ML frameworks (PyTorch TensorFlow or JAX)
- Experience building robust and scalable tools frameworks and automation systems
- Strong problem-solving skills and ability to work in a cross-disciplinary team environment
- Excellent written and verbal communication skills
- Strong verbal and written communication skills
- Academic background in data science machine learning computer vision and statistical data analysis
- Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
- Experience applying ML to anomaly detection predictive maintenance or test optimization
As a Software Engineer you will be responsible for the development of key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs on thousands of units daily.Bachelors degree in CS/CE/...
As a Software Engineer you will be responsible for the development of key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs on thousands of units daily.
- Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
- Solid understanding of machine learning algorithms and their practical application
- Knowledge of hardware/software validation hardware/software integration or testing methodologies
- Strong programming skills and hands-on experience with Python
- Experience with CoreML Swift and iOS/macOS machine learning development
- Experience with relevant ML frameworks (PyTorch TensorFlow or JAX)
- Experience building robust and scalable tools frameworks and automation systems
- Strong problem-solving skills and ability to work in a cross-disciplinary team environment
- Excellent written and verbal communication skills
- Strong verbal and written communication skills
- Academic background in data science machine learning computer vision and statistical data analysis
- Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
- Experience applying ML to anomaly detection predictive maintenance or test optimization
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