On-Device ML Infrastructure Engineer (CoreML Runtime)
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Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Were building an end-to-end developer experience for machine learning development that employs Apples vertical integration. This allows developers to iterate on model authoring optimization transformation execution debugging profiling and analysis. This role focuses on the Core ML Runtime for execution on-device.
- Masters or equivalent experience in Computer Sciences Engineering or related subject area.
- Highly proficient in C or Swift. Familiarity with Python.
- Experience with any compiler stack (MLIR/LLVM/TVM/...).
- Familiarity with Operating Systems embedding programming parallel programming.
- Sound understanding of ML fundamentals including common architectures such as Transformers.
- Good communication skills including ability to communicate with multi-functional audiences.
- Experience with any on-device ML stack such as TFLite ONNX ExecuTorch etc.
- Experience with any ML authoring framework (PyTorch TensorFlow JAX etc.) is a strong plus.
- Experience with accelerators GPU programming is a strong plus.
Key Skills
- Jenkins
- Ruby
- Python
- Active Directory
- Cloud
- PowerShell
- Windows
- AWS
- Linux
- SAN
- Java
- Troubleshoot
- Backup
- Puppet
- hardware
About Company
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