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Machine Learning Engineer Job Opening In Cupertino – Now Hiring Apple

Machine Learning Engineer

    United States Jobs Expertini Expertini › United States › Jobs › Cupertino › Other General › Machine Learning Engineer

Job description

**Role Number:** 200625551-0836

**Summary**
Imagine what you can do here.

Apple is a place where extraordinary people gather to do their lives best work.

Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without.

It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

**Description**
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA.

Participate in new feature design, implement new features, fix bugs and customer reported issues, and improve and refactor existing code.

Work on an iOS or macOS project.

Implement multi-threaded processing of data.

Implement databases, db or full text indexes, file systems, or similar low-level systems.

Work on the on-device search infrastructure, a low-level systemwritten in C, Objective-C and C++.

Contribute to the core indexing system, which processes emails, contacts, documents on the File System and makes them searchable.

Work on adding new features to the backend to enhance spotlight search in future OS releases.

Some low-level features are also used by other first party apps like Mail.

Work on low-level performance optimization and analyze traces to figure out bottlenecks and resolve them.

Work on memory optimizations and on resolving crashes that are due to exceeding memory limit thresholds.

Work on improving index stability and reliability by improving the core architecture of Spotlight.

Address various bug reports filed about spotlight, sometimes directly by customers and collaborate with other teams at Apple to fully understand the issue and figure out a fix for it.

40 hours/week.

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 $166,470 - $220,900/yr and your base pay will depend on your skills, qualifications, experience, and location.
PAY & BENEFITS: 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.

**Minimum Qualifications**

+ Master's degree or foreign equivalent in Computer Science or related field.
+ Experience and/or education must include:
+ Utilizing C and C++ to build and optimize high-performance storage systems.
+ Utilizing C and C++ to optimize memory usage in high performance systems
+ Utilizing Objective-C and C++ to build performant client libraries that access data systems
+ Utilizing performance analysis and performance tracing tools to diagnose performance bottlenecks
+ Utilizing diagnostic tools to analyze disk read and write patterns in data systems
+ Utilizing C and C++ to build crash recovery and synchronization algorithms
+ Utilizing C++ and Objective-C to add security enhancements to infrastructure to run third-party software

**Preferred Qualifications**

+ N/A

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) .


Required Skill Profession

Other General


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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Cupertino, United States, highlighting market share and opportunities for professionals in Machine Learning roles.

11037 Jobs in United States
11037
376 Jobs in Cupertino
376
Download Machine Learning Jobs Trends in Cupertino and United States

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Apple interview tips for Machine Learning Engineer

Here are some tips to help you prepare for and ace your Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Apple's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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To prepare for your Machine Learning Engineer interview at Apple, research the company, understand the job requirements, and practice common interview questions.

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