Job Details

Signal Processing and Machine Learning Algorithm Engineer

San Diego, California, United States

Hardware

Summary

Posted: Jun 13, 2025

Role Number: 200609225

At Apple, we believe that novel ideas can quickly become extraordinary products, services and customer experiences. When you bring passion and dedication to your job there's no limit to what we can accomplish.

Are you ready to join an incredible research and engineering team that's responsible for building the next-generation of algorithms for sensing technologies on the iPhone, Apple Watch, iPad and more? Our team has diverse backgrounds in machine learning, statistics, estimation theory, control, physics and human factors. We are looking for inquisitive, creative engineers with expertise in signal processing and/or deep learning algorithms for time-series data. A deep understanding of probabilistic modeling, statistics and embedded programming will improve your adaptability and efficiency in this role.

Description

This is a key position at a focal point of HW/SW/UI integration with collaboration opportunities among different fields. You will design specialized algorithms that transform raw image or time-series data into interpretable information that feeds into sophisticated applications that delight, connect and enable Apple users all around the world. Starting early in the product lifecycle, you will analyze sensor data, extract features and prototype algorithms. You will collaborate closely with partner teams throughout the product life cycle, developing figures of merit to guarantee algorithm performance at different stages, crafting and implementing algorithmic mitigations as needed and providing critical support during production. Your experience with crafting algorithms to process time series sensor data and extract features that can enable user interactions along with rapid prototyping skills to show proof of concept and on-device implementation would be crucial. Experience with user interface design will further help broaden your role and efficiency in this position.

Minimum Qualifications

• Strong background in signal processing, statistical learning, and mathematical foundations of machine learning.

• Software programming skills in Python and C/C++.

• BS and a minimum of 3 years related experience.

Preferred Qualifications

• M.S. in EE/ECE/CS with 2 years of experience in research and development of embedded algorithms.

• Knowledge of Deep Learning and classical Machine Learning, including but not limited to CNN / RNN / GAN, active learning, k-shot learning and model complexity reduction techniques.

• Rapid prototyping experience with embedded systems.

• Experience in human computer interaction (HCI), crafting user study protocols and data analysis.

• 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 $135,400 and $250,600, 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.