AIML-Sr. Machine Learning Engineer, Measurement

SummaryWe 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.DescriptionOur 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.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 QualificationsStrong 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 QualificationsDevelopment 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.Pay & BenefitsAt 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

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.

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