Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP) - Jobs - Careers at Apple

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation. Together, we'll create tools that redefine industries while safeguarding what matters most – our users' trust. As a pivotal member of Apple's enterprise generative AI efforts, you will help design, build, and evolve models, tools and applications that power high-impact AI experiences across the company. You will contribute to the architecture and optimization of AI/gen AI systems built for high availability, scalability, and reliability, working across backend services and application layers.

• You would solve AI problems in gen AI Safety, machine translation, content understanding, multi-modality, multi-agent systems, fine tuning and more.
• Our team designs and implements SOTA AI Models, services, and AI platform components
• that advance adoption of gen AI at apple. We tackle unique AI challenges in AI Safety,
• privacy-preserving generations, efficient inference, and multimodal integration, while
• enabling teams to build on top of our foundations.
• We deliver production-grade systems and models that meet Apple's rigorous standards for quality, performance, and scalability.

• 2+ years of hands-on experience in applied AI/machine learning work in industry or 4+
• years of hands on AI research and development experience in academia
• Demonstrated expertise in generative AI, computer vision, natural language processing, or
• general machine learning with a passion for problem solving
• Bachelor of Science in Computer Science, Machine Learning or equivalent experience work experience

• MS or Phd in Machine Learning, Natural Language Processing, Computer Vision or
• related areas strongly preferred
• Experience in ML frameworks for training, fine-tuning, and deploying ML/generative
• models at scale
• Proven track record of building large scale, enterprise-grade ML/Gen-AI products in cloud
• environments (AWS, GCP , Azure) or on-prem infrastructure

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 $150,400 and $225,300, 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.