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Machine Learning Systems - Front End Engineer Job Opening In Cupertino – Now Hiring Apple

Machine Learning Systems Front End Engineer

    United States Jobs Expertini Expertini › United States › Jobs › Cupertino › Other General › Machine Learning Systems Front End Engineer

Job description

**Role Number:** 200617930-0836

**Summary**
Our team is building next generation systems and tools supporting the research and development of machine learning models, and their integration into the products Apple customers love.

We're a fast moving, highly skilled, small team designing and building a collection of tools and systems used by Apple’s MLEs and data scientists to build, test and deploy their products.

Our systems have to scale, stay highly available, and just work”.

That's a tall order, and we're looking for talented and passionate engineers who love dealing with such challenges

**Description**
Our team designs and builds ML systems and tools that support applied ML teams throughout their product development cycle.

Using our systems, MLEs and data scientists perform their daily tasks including data acquisition and synthesis, training, evaluation, and serving.

In this role, you will be responsible for the front end of such systems as well as of AI powered tools.

You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.

You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.

**Minimum Qualifications**

+ 5+ years industry experience as a web frontend or full-stack engineer.
+ Hands-on experience in designing and coding large scale systems.
+ Strong understanding of data and workflow centric design, restful APIs, and cloud services.
+ BA in Computer Science or related experience.

**Preferred Qualifications**

+ Experience with React or similar web technologies
+ Experience with developer tools or developer productivity systems.
+ Experience with open source or inner source

**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 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.

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Before the Interview:

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

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

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Final Thought:

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