Proactive Intelligence is at the heart of an intelligent system experience that understands you and anticipates your needs. We are building an on-device personal and contextual intelligence platform that will benefit the millions of people who use Apple devices every day. We want your help to use state-of-the-art machine learning to build a personal context platform that captures your past, current, and future activities, environment, and intentions to power next generation personal assistants and experiences. As a part of this team, you will touch various parts of our codebase, from researching and experimenting with new ideas to fine-tuning large language models that will be deployed on-device. You will have the opportunity to teach and learn from others and grow in our close-knit, growing team!
Description You'll join a phenomenal team of hardworking software engineers, ML engineers and Generative AI researchers on the Contextual Understanding Team. The team is responsible for providing Siri and other clients with on-screen, conversational, and environmental context to power the next generation of personal context use cases in Siri. We're looking for a Senior ML Engineer with a focus on Generative AI who will be responsible for building scalable synthetic data generation pipelines, and fine-tuning large language models to solve complex tasks in the space of UI understanding. You will solve problems and deploy solutions that enable users to use Siri to naturally take action over what they are looking at on-screen!
Minimum Qualifications M.S. or PhD in Computer Science or related field, or equivalent practical experience 5+ years of industry experience developing, training, and fine-tuning machine learning models offline using Python, with a strong understanding of machine learning algorithms, frameworks (e.g. Pytorch, Scikit-learn), and data preprocessing techniques Demonstrated experience applying generative AI techniques to solve complex problems, with a strong understanding of the underlying technologies Proven ability to train and debug deep learning systems: building datasets, training models, defining metrics, and performing error analysis Strong software engineering skills in Python to build scalable and robust infrastructure for deep learning data, modeling, and evaluation systems Preferred Qualifications Familiarity with compiled languages like Swift or Objective-C Experience in resource-constrained computing environments, such as embedded systems or mobile development Strong verbal and written communication skills to articulate complex technical concepts 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 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.
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