- +3
- +9
- California, United States
Über
Machine Learning Software Engineer
Cupertino,California,United States
Machine Learning and AI
At Apple, novel machine learning ideas have a way of quickly becoming phenomenal products, services, and customer experience. Bring passion and dedication to your job and there's no telling what you could accomplish. Here is your opportunity to be part of an incredible research and engineering team building the next-generation of advanced algorithms for sensing technologies in iPhone, Apple Watch, iPad and more. Our team works across Apple to create innovative, high-impact features and new interaction experiences on Apple devices.
Description
We are looking for smart, creative Software Engineers and Developers with expertise in embedded programming, edge and on-device implementations of algorithms, Frameworks, and image or time-series data. Working knowledge of Machine learning and signal processing tools will broaden your role and effectiveness in this position. The team you will join is responsible for creating product features for Apple's existing and future devices. In this role, you will: Work closely with machine learning and software engineering experts within the team. Partner with a variety of product teams across Apple. You will work cross-functionally with machine learning scientists, sensor architects and software engineers to build the next generation of sensing technologies. Implement signal and machine learning algorithms on-device that process image or time-series data measured by various sensors in different Apple products Design and implement machine learning algorithms that process image or time-series data measured by various sensors in different Apple products Prototype and define interactions end-to-end, in collaboration with HW, SW, and design partners Design user studies SW and leverage prototypes to define success criteria
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Proficiency in Python programming
Experience building libraries, frameworks, testing/automation, and command-line tools
Key Qualifications
Preferred Qualifications
MS in Computer Engineering, Computer Science, or equivalent experience.
Expert in Swift, Objective-C, C++, or similar systems programming languages
Strong background in Deep Learning and classical Machine Learning, including but not limited to CNN/RNN architectures, GAN, active learning, k-shot learning and model complexity reduction techniques.
Experience building libraries, frameworks, testing/automation, and command-line tools
Experience building iOS and watchOS apps with basic UI/UX design
Strong understanding of object-oriented design, data structures, algorithm design, complexity analysis, performance analysis, problem solving and diagnosis
Past experience in creating high-performance implementations of deep learning algorithms
Able to communicate clearly and collaborate with cross-functional teams
Excellent problem solving and root cause analysis skills
Experience in human computer interaction (HCI) space
Experience with signal processing, such as applying filtering to noisy signals
Education & Experience
Additional Requirements
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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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 Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
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 (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
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 (opens in a new window) 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.
Wünschenswerte Fähigkeiten
- Python
- Swift
- Objective-C
- C++
- Deep Learning
- Machine Learning
- iOS
- WatchOS
- Signal Processing
Berufserfahrung
- Machine Learning
- Embedded
- Computer Vision
Sprachkenntnisse
- English