Embedded Machine Learning Engineer
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
14 days ago
Vacancies:
1 Vacancy
Job Summary
This role offers a unique opportunity to innovate at the intersection of AI and embedded hardware. You will transform advanced ML algorithms into highly optimized power-efficient code for custom silicon and microcontrollers in Apple products specifically for robotics. Youll tackle complex challenges like memory constraints computational budgets and real-time performance ensuring ML models deliver exceptional user experiences while adhering to Apples privacy and power efficiency standards.
- Bachelors degree (3 years experience) or Masters degree (1 year experience) in CS EE or a related technical field.
- Proficiency in C/C for embedded systems development including RTOS microcontrollers and low-level hardware interactions.
- roven ability to optimize and deploy ML models for resource-constrained edge devices using techniques like - quantization/pruning and frameworks (e.g. TensorFlow Lite ONNX Runtime Core ML).
- Strong analytical and debugging skills to resolve performance bottlenecks across hardware firmware and ML inference.
- Experience with ML inference hardware acceleration (DSPs NPUs ASICs).Familiarity with diverse neural network architectures and training methodologies for efficient edge deployment.
- Knowledge of computer vision NLP or audio processing in an embedded/robotics context.
- Experience with embedded Linux or other RTOS in a production environment.
- Contributions to open-source embedded ML projects or relevant publications.
- Proficiency with Python for automation and data analysis.
Key Skills
- Computer Science
- ASP.NET
- Fun
- Linux Administration
- Application Support
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
