Job Details

HID Algorithms Engineer

Cupertino, California, United States

Machine Learning and AI

Summary

Posted: Jan 28, 2025

Role Number: 200587932

Join HID sensing and interaction algorithms team that develops advanced sensing algorithms which enable the best-in-the-world user experiences for Mac, iPhone, iPad, ?Pencil, ?Watch, and exciting new products. We are looking for a hardworking algorithm engineer who could work well in cross-disciplinary teams over a full product cycle. Our team comes from diverse backgrounds in signal and image processing, statistics, machine learning, controls, physics, firmware and software development, neuroscience, human factors, and more dedicated to inventing new ways of interacting with Apple products and shipping amazing products to millions of users every year.

The team operates at the intersection of hardware, software, and design. This means that the wide variety of problems you will solve have many interesting facets and you will get to work with specialists from all across Apple.

Description

We are looking for a signal or image processing/machine learning specialist with working knowledge of probabilistic modeling, statistics, and state machines. As a HID algorithm engineer you will combine skills from a variety of fields to solve complex data processing and sensing challenges. The process starts early in a product’s lifecycle as we explore what might be possible and identify challenges and their potential solutions, then continues as we rapidly iterate on cleaning and analyzing data, building and testing algorithms, and finishes with detailed implementation, analysis, and validation. You should have excellent mathematical skills and experience working with algorithms and data, be proficient at programming, and have a desire to work closely with others in a multi-functional team. In return, you will get to work on challenging and fascinating problems with hardworking co-workers, and ship great solutions at scale.

Minimum Qualifications

• BS and a minimum of 3 years relevant industry experience

• Working with embedded or resource-constrained systems, and with C or C++ .

Preferred Qualifications

• Ph.D. (or M.S. with at least 2 years) in EE, CS, Physics, Statistics, Mathematics, or another engineering or technical field.

• Algorithm design and development for classification, filtering, noise modeling, signal processing, or control.

• Processing and analyzing complex data, e.g. for machine learning, signal processing, or statistics.

• Building mathematical models in Python, MATLAB, R, or a similar high-level language.

• Strong theoretical knowledge of fundamental DSP concepts such as adaptive filtering, linear algebra, and statistics.

• Excellent communication, presentation, and documentation skills.

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 $143,100 and $264,200, 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) .

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) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.