Machine Learning & Signal Processing Algorithms Engineer

Machine Learning & Signal Processing Algorithms Engineer

• *San Diego, California, United States**
• *Machine Learning and AI**
• *Summary**

Posted: **Apr 24, 2025** Role Number: **200601094** At Apple, novel algorithms quickly have a way of becoming extraordinary products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. This is your opportunity to be part of a world class research and engineering team building the next-generation of advanced algorithms for sensing technologies in iPhone, iPad, Pencil, Watch and more. Our group has diverse backgrounds in machine learning, signal and image processing, statistics, estimation theory, control, physics and human factors. You will be responsible for helping develop innovative solutions to challenging technical problems and delivering key product features on time and with high quality. You will need sufficient engineering breadth to have productive conversations with firmware and software teams, hardware technology teams, mechanical engineers, designers, and many other specialists across Apple. Knowledge of machine learning, signal processing, probabilistic modeling, statistics and embedded programming will increase your effectiveness in this position. **Description** This is a key position at a focal point of HW/SW/UI integration with lots of collaboration opportunities among different fields. Starting from early in the product lifecycle, this engineer will analyze sensor data, design algorithms to preprocess data, extract feature and prototype algorithms to enable expected user interactions. Communicate the findings back to the team and leadership and closely collaborate on HW/SW co-design to find the best solution for the ultimate user experience. You will closely collaborate with partner teams throughout the product life cycle, developing figure of metrics to guarantee algorithm performance at different stages, design and implement algorithmic mitigations as needed, provide critical support during production phase, support new form factors and design and implement new user facing features. Your experience with designing 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 essential. Experience with user interface design will further help broaden your role and effectiveness in this position. **Minimum Qualifications**

• Background in signal processing, time series analysis, adaptive filters, machine learning, linear algebra, statistics, etc.
• Software programming skills in C, C++ and Python (embedded/resource constrained implementation for algorithms)
• Experience with object-oriented programming and common design patterns
• BS and a minimum of 3 years relevant industry experience.

**Preferred Qualifications**

• Ph.D. degree in CS (preferred), or other STEM fields such as EE, or Statistics.
• M.S. in CS with at least 2 years of experience in research and development of embedded algorithms
• Rapid prototyping experience with embedded systems
• Experience in human computer interaction (HCI) space
• Experience in designing user study protocols and data analysis
• Familiarity with cloud processing platforms like AWS/GCP
• Excellent communication, presentation, and documentation skill.

**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. ( ) 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 ( \_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 ( \_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 ( ) . 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. #J-18808-Ljbffr Apple