Our team is seeking machine learning scientists and engineers to help build AI-driven products at Apple. This role focuses on ML development and implementation, working closely with hardware, software, and design teams across the company. You'll be joining a collaborative environment that fosters innovation and pushes the boundaries of AI and machine learning. Your work will contribute to how AI technologies are integrated across our product ecosystem.
Description
In this role, you will participate in the ML development lifecycle, working with cross-functional teams to bring innovative AI technologies into reality. You'll help design and implement ML models, work with ML tooling and infrastructure, support evaluation efforts, and implement model inference solutions. The team values rapid iteration, based on bringing models into reality so stakeholders can understand cutting-edge technology and research. You'll collaborate with hardware, software, and design teams across Apple, helping to implement engineering solutions ready for product development. This opportunity allows you to work on innovative projects that enhance user experiences and technological capabilities. You'll be part of a collaborative environment that explores new possibilities with AI and machine learning. KEY RESPONSIBILITIES: - Implement ML models and infrastructure in partnership with designers, software/hardware engineers, and R&D teams - Support data generation, curation, and evaluation efforts for ML systems - Help develop model inference solutions - Prototype AI solutions that solve real-world problems - Communicate technical concepts to diverse team members - Assist in translating research innovations into practical implementations - Collaborate with teams across Apple to implement AI technology into prototypes
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Minimum Qualifications
- Bachelor's degree in Computer Science, Machine Learning, or related technical field, or equivalent practical experience
- Experience with machine learning through hands-on work in product development, prototyping, or research environments
- Strong programming skills with experience in machine learning development
- Understanding of transformer-based models
- Ability to communicate technical concepts to team members
- Experience with prototyping in ML/AI contexts
Preferred Qualifications
- Knowledge of large language models (LLMs) and multi-modal foundation models
- Experience with pre-training, fine-tuning, or performance optimization
- Familiarity with AI systems capable of reasoning and task execution
- Creativity and curiosity about applying AI capabilities to product experiences
- Ability to implement research innovations into practical applications
- Good collaborative skills and effective communication
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 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 seek to promote 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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