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Apple

AIML-Sr. Machine Learning Engineer, Measurement

Apple, Cupertino, California, 95014


AIML-Sr. Machine Learning Engineer, Measurement Cupertino,California,United States Machine Learning and AI We are seeking a highly skilled and experienced software engineer to join our team at Apple AIML in building an on-device machine learning and observability platform. As a key member of the team, you will help design and develop the infrastructure and work on various machine learning solutions and models. You will also have the chance to collaborate with product teams such as Siri and utilize your expertise to solve technical challenges for upcoming products. Your responsibilities will include building the on-device machine learning infrastructure, working with product teams, and contributing to the development of machine learning solutions and platforms. Description Our team is seeking a highly skilled and experienced ML software engineer to join us in building the on-device machine learning and evaluation platform that enables product teams across Apple to develop, evaluate, observe ML solutions that power Apple Intelligence user experiences. In this role, you will play a crucial role in the design and development of on-device ML infrastructure and work closely with multiple ML-based solutions and experiences. You will also have the opportunity to engage with product teams across Apple and use your expertise to solve challenging technical problems in our next-generation products that will delight millions of people, including contributing to advancements in large language models (LLMs) for next generation Siri empowered by Apple Inteligence. Your responsibilities will include: Designing and building on-device Machine Learning infrastructure to enable efficient and effective model training, evaluation, deployment, and performance monitoring. Collaborating with product teams to identify and prioritize machine learning needs and opportunities. Working with data scientists and machine learning researchers to design and conduct experiments to optimize model performance. Participating in the development of machine learning infrastructure and tools, including model life-cycle management, experimentation tracking, and data management. To succeed in this role, you should have a strong background in distributed systems, Machine Learning and a proven track record of building and maintaining machine learning infrastructure. You should also be a proactive and determined problem solver with excellent communication skills and the ability to work effectively across multiple codebases, teams, and organizations. Experience with on-device Machine Learning and a passion for crafting compelling user experiences are highly desirable. Minimum Qualifications Strong background in distributed systems and machine learning Experience with on-device machine learning and system development Experience building and maintaining machine learning infrastructure Ability to work effectively across multiple codebases, teams, and organizations 8 years of professional experience as a software engineer, preferably in machine learning or a related field Proactive and determined problem-solving skills Excellent communication skills Bachelor's or Master's degree in Computer Science or a related field Key Qualifications Preferred Qualifications Development experience at the systems level with Objective-C, Swift Understanding of iOS, macOS fundamentals and frameworks Proficiency in Python and ML frameworks such as Pytorch and Tensorflow Experience with Core ML framework and tools Experience with LLM fine-tuning and training 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 $207,800 and $378,700, 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 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. 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) . 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