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Urgent! Senior ML Infrastructure Engineer Job Opening In Cupertino – Now Hiring Apple
**Role Number:** 200624910-0836
**Summary**
The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences.
We’re a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple.
This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information.
We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI.
Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services.
Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives!
**Description**
As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities.
Your work will include: Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy.
You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.
**Minimum Qualifications**
+ Excellent software design, problem solving and debugging skills
+ Background architecting and building data or machine learning platforms
+ Experience building on LLMs or other generative models
+ Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications.
+ Deep understanding of multi-threaded programming and synchronization.
**Preferred Qualifications**
+ Experience building production feature engineering pipelines a plus
+ Experience with distributed data systems a plus
+ Experience with macOS/iOS development is a plus
**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 $181,100 and $318,400, 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 Senior ML Potential: Insight & Career Growth Guide
Real-time Senior ML 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 Senior ML 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 186821 jobs in United States and 689 jobs in Cupertino. This comprehensive analysis highlights market share and opportunities for professionals in Senior 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 Senior ML Infrastructure 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: Senior ML Infrastructure Engineer Jobs Cupertino.
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 Senior ML Infrastructure Engineer 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 Senior ML Infrastructure 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.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior ML Infrastructure 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.
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