Description

Description

Join our dynamic team at Apple, where we design, build, and maintain large-scale infrastructure supporting search and AI features for billions of users globally. In this team, you will have the opportunity to work on large-scale, complex systems that process trillions of records and petabytes of data. You will design and implement scalable data mining information extraction algorithms and machine learning/deep learning models, work alongside Foundation Model Research teams to curate high-quality datasets for cutting-edge model architectures, and partner closely with product teams to build production-grade solutions for millions of customers in real time. We value end-to-end ownership and meticulous attention to detail, providing an environment where you can tackle complex challenges at an unparalleled scale. Your responsibilities will span the full service lifecycle, from conception and design to deployment and maintenance, offering a unique opportunity to influence Apple's AI-driven future.

Minimum Qualifications

• Master's degree or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent experience
• Strong experience in developing and evaluating scalable ML/DL features, demonstrating a passion for understanding and improving model/data quality
• Strong programming skills and hands-on experience using one of the deep learning frameworks: PyTorch, Tensorflow or Jax.
• 2+ years of experience or equivalent in large-scale data processing using programming language Java, Scala or Python.
• Excellent interpersonal skills able to work independently and in close partnership with ML researchers

Preferred Qualifications

• The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams.
• Experience managing rapid prototyping and proof-of-concept development in ML/AI
• Familiar with challenges associated with training large models and working with large data
• Understanding of ML operations, including model development, evaluation, and deployment
• Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
• Familiar with Nvidia TensorRT-LLM, vLLLM, Nvidia Triton Server etc.

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.

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 .