Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)
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.
Description
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.
Preferred Qualifications
MS or Phd in Machine Learning, Natural Language Processing, Computer Vision or
relatesd 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
Minimum Qualifications
Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field
or equivalent experience
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.
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 .
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 $139,500 and $258,100, 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.
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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