Job Information
Apple Senior Machine Learning Software Engineer - SIML, ISE in Cupertino, California
Senior Machine Learning Software Engineer - SIML, ISE
Cupertino,California,United States
Machine Learning and AI
Are you excited about Generative AI and Apple Intelligence? Are you passionate about safety in AI powered features that ship on 1.5B Apple products across the globe? Are you a skilled programmer who enjoys knowing how things work underneath the hood with machine learning technologies, and finds satisfaction in crafting well-designed software that runs efficiently? Our Robustness and Safety AI (RSAI) team strives to apply cutting edge Machine learning in innovative and impactful ways to ensure ML technologies can be safely deployed to the real world. We are part of the System Intelligent and Machine Learning (SIML) group that provides foundational machine learning technologies with focus on AI and User safety. Our work serves the safety foundation for many Apple Intelligence experiences (Writing Tools, Image Playground, Genmoji, Image Wand, Apple Intelligence in Photos, etc). The RSAI team is seeking a senior ML software engineering. The primary responsibilities associated with this position range from algorithm design and software implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch. You will be working closely with machine learning experts on the team for building efficient software that is suitable for production deployments, with an eye towards power, memory and latency. You will be collaborating across teams at Apple to make a big influence on user experience! For additional information about Safety for Apple Intelligence https://arxiv.org/pdf/2407.21075 (https://arxiv.org/pdf/2407.21075)
Description
The Robustness and Safety AI team is seeking a senior software/ML engineer with a consistent track record in shipping customer experiences. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams multi-functionally. Among the most important requirement would be a deep understanding of software fundamentals, and the ability to translate ML algorithms into production quality code. Solutions developed will demonstrate multi-modal inputs (visual, text, audio, etc.). In this role you will: - Lead and guide in the development of our production framework that exposes ML core technologies to clients across Apple and to third party developers. - Work closely with Machine learning researchers, hardware teams, user experience/design teams, etc in order to ensure these ML core technologies run as efficiently, and accurately as possible across a variety of Apple platforms (iOS, mac OS, vision OS, Watch OS, etc). - Iterate with multiple cross functional teams as we refine various user experiences and strive to address meaningful user problems as innovatively and inclusively as possible.
Minimum Qualifications
B.S. or M.S in Computer Science or a related field (mathematics, physics or computer engineering); or equivalent experience.
5+ years of industry experience in software framework development
Proficient in coding in C++ and/or Swift
Ability to design/implement flexible APIs that will expose machine learning algorithms to clients across Apple platforms
Avid proponent of software system design principles and coding standard methodologies
Good interpersonal skills and known to work in projects involving multiple teams
Key Qualifications
Preferred Qualifications
Familiarity with Machine Learning algorithms is desired
Experience with multiple modalities (image, text, audio, etc)
Validated prototyping skills, and understanding of the unique challenges associated to the transition of a prototype into a final product
Proven experience with hands-on software engineering fundamentals
Familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
Experience with OS X and iOS development tools and familiarity with GPU programming is desired
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 $175,800 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)
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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) .
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