MacOS ML Engineer
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
As a MacOS ML Engineer you will build the fundamental software libraries tools and test suites to support autonomous security on Apple devices. You will develop the software and integrations to make on device security machine learning successful. As part of this process you will define the architectures and services of autonomous security on-device including OS interfaces and autonomous security capabilities. You will collaborate with Core OS security and services partners across Apple to deliver high reliability high performance device frameworks and will adapt the intelligence models and research developed by the team to run on macOS. Development and deployment of autonomous security on macOS needs to balance privacy rigor visibility performance and this role you need to have skills and knowledge across a blend of macOS development best-practices systems and software engineering and embedded systems development. Day to day you will use Apple internal tools and platforms third party cloud and local hardware to test and deploy software frameworks and ML models to target current macOS and future macOS releases.
- Bachelors or Masters degree in Computer Science Electrical Engineering Machine Learning or related field.
- 3 years of experience developing system software services applications or frameworks for macOS or Linux.
- Solid programming skills in at least one of the following programming languages: Swift Objective-C C/C Rust with strong attention to detail
- System level programming and debugging experience such as efficient file I/O memory management and concurrency.
- Experience with on-device ML frameworks (Core ML Win ML ONNX TF Lite or ExecuTorch)
- Experience with API design and software architecture.
- Demonstrated experience working cross-organization
- Knowledge of general ML Framework implementation (Jax PyTorch or TensorFlow)
- Experience with continuous software monitoring and distributed systems.
- Experience with endpoint sensing telemetry or on-device stream processing.
- Understanding of MLOps practices including model validation versioning monitoring and deployment in high-security environments.
- Background in cybersecurity malware analysis digital forensics or red/blue teaming.
- Experience with CoreML including porting models to run on macOS utilizing the CoreML runtime and deploying models using the Neural Engine or GPU.
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
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
