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Machine Learning Engineer Job Opening In Cupertino – Now Hiring Apple


Job description

**Weekly Hours:** 40
**Role Number:** 200593392-0836

**Summary**
The Motion & Interaction team has created intuitive experiences for our customers through motion sensing.

When you simply raise your wrist, shake your head, or move your device to interact, it’s the work of engineers and scientists on this team.

Our fingerprints can be found across core capabilities and experiences on iPhone, Watch, AirPods, Vision Pro, and other Apple products.
We are a multidisciplinary team that operates at the intersection of algorithms, software, hardware, and design.

We come from diverse backgrounds in signal processing, machine learning, software engineering, statistics, controls, firmware development, and more.

As a member of our dynamic group, you will have a unique opportunity to work cross-functionally to develop products and features that impact the lives of millions of users worldwide a daily basis.

**Description**
We are seeking a talented, self-motivated machine learning engineer to build Apple’s next-generation features and experiences using multi-modal sensing.

In this role, you will ideate, design, and implement models & algorithms, while optimizing for power, memory, and performance.

You will be working on motion sensing-related features, including sensor fusion and interactive technologies.
Responsibilities include:
-Designing and driving end to end features with specialists across the company
-Developing machine learning data pipelines for training and testing
-Deploying efficient, low-power models & algorithms
-Delivering the software through prototyping and release to our customers
-You will work closely with scientists, software engineers, quality engineers, project managers, and designers throughout a product lifecycle, driving for the best possible customer experience.

**Minimum Qualifications**

+ MS, PhD, or 5+ years experience in machine learning, computer science, or related fields
+ Professional experience creating and experimenting with machine learning models, preferably with time series data
+ Strong proficiency in Python, machine learning tools and frameworks e.g. PyTorch, TensorFlow
**Preferred Qualifications**

+ Results oriented, with a proven ability to effectively prioritize and deliver tasks on schedule
+ Excellent communication and collaboration skills
+ Strong product sense, including the ability to balance technical feasibility with user experience
+ Experience developing for embedded or real-time systems
+ Experience leveraging distributed compute/storage models when the scale of data calls for it
+ Experience designing and implementing interfaces between algorithms, software, and firmware
+ Experience with multi-modal inputs and models, including IMU, images, video, and/or audio

**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 $147,400 and $272,100, 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.

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

Are You Looking for Machine Learning Engineer Job?

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7. Obeying United States laws and regulations

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The average salary range for a 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.

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Interview Tips for Machine Learning Engineer Job Success

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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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

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Final Thought:

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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