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Software Development Engineer - Test, Graphics, Games & ML

Seattle, WA, US • Posted 10 hours ago • Updated 10 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Research
Attention To Detail
Switches
Computer Hardware
Automated Testing
Continuous Integration
Continuous Delivery
Software Development
Quality Assurance
Python
Machine Learning (ML)
Keras
PyTorch
TensorFlow
scikit-learn

Summary

The On-Device Machine Learning team at Apple enables the Research to Production lifecycle of innovative machine learning models that power magical user experiences on Apple's hardware and software platforms. \\n\\nApple is the best place to do on-device machine learning, and this team sits at the heart of that subject area, collaborating with research, SW engineering, HW engineering, and products. Apple's On device Machine Learning Infrastructure and Quality team is seeking a highly motivated and detail oriented software engineer to drive innovations in quality for on device intelligence. \\n\\nThe successful candidate will be passionate about delivering the best possible experience for our users and is continuously looking for new ways to measure and improve the quality of our software stack and infrastructure. Additionally, having the ability to switch between designing creative product usage scenarios and immersive analysis of detailed feature design will be a critical skill to possess.

The Software Development Engineer- Test will interact multi-functionally with many teams across Apple, impacting all levels of the Apple's on device machine learning stack including hardware, drivers, frameworks and developer tools. \n\nIn addition, you will develop and implement comprehensive manual /automated test plans and maintaining CI/CD presubmission pipelines. You will also be the voice of our customers, championing quality software development through each step of the development process and driving quality improvements throughout the organization.

BS, MS, degree or equivalent\n2+ years of related experience in software quality engineering\nIn depth knowledge of QA practices and fundamentals\nStrong Python programming skills

Experience with Machine Learning, its common practical applications, and commonly used frameworks (e.g. Keras, PyTorch, Tensorflow, Scikit-learn)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90733111
Position Id: 33f51c99dc41767de5bbb3d97e8f2f1
Posted 10 hours ago

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