Apple - Cupertino, CA

posted 3 months ago

Full-time - Entry Level
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

We are a group of engineers and researchers responsible for building foundation models at Apple. Our team focuses on creating infrastructure, datasets, and models that possess fundamental general capabilities, including the understanding and generation of text, images, speech, videos, and other modalities. These models are then applied to enhance Apple products, aiming to push the boundaries of deep learning in terms of scaling, efficiency, and flexibility, ultimately delighting millions of users. In this role, you will collaborate with a close-knit and rapidly growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning. This includes areas such as natural language processing, multi-modal understanding, and the integration of learning with knowledge. Example applications of your work may include web-scale information retrieval, developing human-like conversational agents, enhancing multi-modal perception for existing products and future hardware platforms, and implementing on-device intelligence and learning with strong privacy protections. You will also have the opportunity to identify and develop novel applications of deep learning that can be integrated into Apple products. Your innovative ideas will not only be published in academic papers but will also contribute to improving the experience of millions of users around the world.

Responsibilities

  • Collaborate with engineers and scientists to develop foundation models and deep learning systems.
  • Work on real-world applications of deep learning, including natural language processing and multi-modal understanding.
  • Identify and develop novel applications of deep learning for Apple products.
  • Contribute to the training and deployment of large models and large-scale distributed systems.
  • Participate in the design and implementation of on-device intelligence with privacy protections.

Requirements

  • PhD or equivalent practical experience in Computer Science or a related technical field.
  • Proven track record in training or deployment of large models or building large-scale distributed systems.
  • Proficient programming skills in Python and experience with deep learning toolkits such as JAX, PyTorch, or TensorFlow.
  • Ability to work effectively in a collaborative environment.

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses, including tuition
  • Discretionary bonuses or commission payments
  • Relocation assistance
  • Opportunity to participate in Apple's discretionary employee stock programs
  • Eligibility for discretionary restricted stock unit awards
  • Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan
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