- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: MacOS ML Engineer.
Urgent! MacOS ML Engineer Job Opening In Austin – Now Hiring Apple
**Role Number:** 200623701-0157
**Summary**
The Information Security Machine Learning (ISML) team is revolutionizing Apple’s security services by using machine learning to harness patterns and insights from vast amounts of data to predict, detect, and respond to threats; transforming reactive security into autonomous protection.
The ISML team is responsible for improving security services with applied science, developing long term autonomous security solutions with cutting edge research, as well as building and deploying models and infrastructure to support machine learning security solutions.
We're looking for a passionate and highly skilled macOS engineer to join our team and build the foundation for autonomous security on Apple devices.
This role requires a deep understanding of the macOS environment and a proven ability to develop and deploy high-performance applications.
**Description**
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 services.
You 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 impact.
In 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.
**Minimum Qualifications**
+ Bachelor’s or Master’s 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
**Preferred Qualifications**
+ 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity.
We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your MacOS ML Potential: Insight & Career Growth Guide
Real-time MacOS ML Jobs Trends in Austin, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for MacOS ML in Austin, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 2872 jobs in United States and 133 jobs in Austin. This comprehensive analysis highlights market share and opportunities for professionals in MacOS ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a MacOS ML Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: MacOS ML Engineer Jobs Austin.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a MacOS ML Engineer Jobs United States varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for MacOS ML Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for MacOS ML Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your MacOS ML Engineer interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for MacOS ML Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!