Apple - New York, NY

posted 4 days ago

Full-time - Mid Level
New York, NY
Computer and Electronic Product Manufacturing

About the position

The position involves working as part of a team of engineers and researchers at Apple, focusing on building foundation models that enhance the capabilities of Apple products. The role emphasizes the application of deep learning to real-world use cases, aiming to push the boundaries of technology in areas such as natural language processing and multi-modal understanding. The successful candidate will have the opportunity to contribute to significant advancements in deep learning and see their work impact millions of users.

Responsibilities

  • Build infrastructure, datasets, and models for understanding and generation of text, images, speech, and videos.
  • Collaborate with a team to tackle challenging problems in foundation models and deep learning.
  • Identify and develop novel deep learning applications for Apple products.
  • Contribute to the training and deployment of large models and large-scale distributed systems.

Requirements

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

Nice-to-haves

  • Experience with web-scale information retrieval.
  • Knowledge of human-like conversation agents.
  • Familiarity with multi-modal perception for existing products and future hardware platforms.
  • Experience with on-device intelligence and learning with strong privacy protections.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Opportunity to participate in employee stock programs and purchase Apple stock at a discount.
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