Urgent! On-Device ML Engineering Manager (ML Authoring & Conversion Tools) Job Opening In Cupertino – Now Hiring Apple
**Role Number:** 200617827-0836
**Summary**
This is a fantastic opportunity to join the Machine Learning team at Apple, in a leadership role.
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.
Apple is the best place to do on-device machine learning, and this team sits at the heart of that field, collaborating with research, SW engineering, HW engineering, and products.
This team builds critical infrastructure, beginning with onboarding the latest machine learning architectures to embedded devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to implement these models as efficiently as possible, and the benchmarking, analysis, and debugging toolchain needed to improve on new model iterations.
This infrastructure underpins most of Apple’s critical machine learning workflows across many of our products, including Camera, Siri, Health, Vision, and is a significant part of Apple Intelligence.
We are seeking an Engineering Manager to oversee the team which builds the Authoring and Conversion toolchain.
This is one of the key functional areas in our platform, responsible for developing the foundational authoring and conversion APIs that enable the authoring and import of ML models into Apple’s ML deployment platform.
The team works with foundational and applied machine learning researchers and engineers to onboard the newest architectures.
More specifically, the team owns the Python authoring toolchain and APIs, the MLIR front-end compiler and intermediate representations, and the integration with ML research frameworks.
**Description**
As the manager in this role, you will support a dynamic team of engineers, with skills that range from machine learning and frameworks like PyTorch and MLX, to deep compiler expertise in MLIR and LLVM.
You will partner with other leaders across the organization and company to both develop our platform as well as support clients internally and externally.
The role requires a deep technical understanding of ML research→production workflows, ML compilations, runtimes, and on-device optimization techniques (such as quantization, distillation, etc.).
**Minimum Qualifications**
+ BS/MS/PhD in Computer Science or Electrical Engineering.
+ Two or more years of strong and validated management experience.
+ Knowledge of ML development and workflows, including at least one authoring framework experience (e.g., PyTorch).
+ Excellent social skills.
+ Track record of creating clean software architectures, intuitive designs, and high-performance extensible software.
+ Solid programming skills in Python, C++ or Swift.
**Preferred Qualifications**
+ Familiarity with Apple framework and API design patterns
+ Experience with on-device ML frameworks (Core ML, Win ML, ONNX, TF Lite or ExecuTorch)
+ Experience with MLIR / LLVM compiler technologies
**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range.
This provides the opportunity to progress as you grow and develop within a role.
The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.
You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Learn more about Apple Benefits.
(https://www.apple.com/careers/us/benefits.html)
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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) .
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Unlock Your On Device Potential: Insight & Career Growth Guide
Real-time On Device Jobs Trends in Cupertino, 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 On Device in Cupertino, 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 29454 jobs in United States and 30 jobs in Cupertino. This comprehensive analysis highlights market share and opportunities for professionals in On Device 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 On Device ML Engineering Manager (ML Authoring & Conversion Tools) to join their team. Feel free to download the job details.
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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 On Device ML Engineering Manager (ML Authoring & Conversion Tools) Jobs United States varies, but the pay scale is rated "Standard" in Cupertino. 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 On Device ML Engineering Manager (ML Authoring & Conversion Tools) 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.
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Before the Interview:To prepare for your On Device ML Engineering Manager (ML Authoring & Conversion Tools) interview at Apple, research the company, understand the job requirements, and practice common interview questions.
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