AIML - ML Researcher, AFM

Apple

Job Summary

We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including end-to-end voice interactions, natural language processing, and combining learning with knowledge.

Must Have

  • Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
  • 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 related technical field.

Good to Have

  • Code Large language models.
  • Experience in building end-to-end voice models.
  • Experience in speech recognitions and generations.
  • Experience in reinforcement learning, on-policy distillation.
  • Experience in post-training, mid-training large language models.

Perks & Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses (including tuition) for formal education related to advancing your career at Apple
  • Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
  • Eligible for discretionary restricted stock unit awards
  • Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
  • Eligible for discretionary bonuses or commission payments
  • Relocation

Job Description

We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including end-to-end voice interactions, natural language processing, and combining learning with knowledge.

  • Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
  • 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 related technical field.
  • Code Large language models.
  • Experience in building end-to-end voice models.
  • Experience in speech recognitions and generations.
  • Experience in reinforcement learning, on-policy distillation.
  • Experience in post-training, mid-training large language models.

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 $181,100 and $318,400, 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

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Apple accepts applications to this posting on an ongoing basis.

8 Skills Required For This Role

Game Texts Html Pytorch Deep Learning Reinforcement Learning Python Algorithms Tensorflow

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