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PhD Intern, Machine Learning: MSI, Product Operations Team

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I korthet

Apple's Product Operations team is looking for a PhD Intern in Machine Learning to research and apply ML techniques, including domain adaptation of multimodal foundation models, for manufacturing processes. This role involves developing techniques for large foundation models and collaborating to solve industrial problems.

Ansvarsområden

  • Research, build, and adapt ML approaches for domain adaptation of multimodal foundation models to Apple manufacturing.
  • Develop techniques to steer large foundation models without modifying weights and explore multimodal knowledge-graph reasoning.
  • Train, evaluate, and analyze model performance on public and internal datasets.
  • Apply and extend LLMs, VLMs, and World Models to advance domain adaptation for manufacturing.
  • Collaborate within Apple to apply solutions to industrial problems.
  • Conduct presentations of analyses and results to a wide range of audiences.

Krav

  • Pursuing PhD in Computer Science or related field.
  • Deep understanding of Machine Learning concepts, Probability, and Statistics.
  • Understanding of Computer Vision & VLMs, with demonstrated skill in training models and applying them to ML application development.
  • Ability to prototype research ideas as working code (Python).
  • Ability to meaningfully present results of analysis in a clear and impactful manner.

Önskade kvalifikationer

  • Familiarity with applying Machine Learning, especially Computer Vision in a Manufacturing / Assembly setting.
  • Familiarity with multimodal understanding & reasoning, knowledge-graphs & generative video models.
  • Prior publications in relevant field.

Förmåner

  • Highly visible role.
  • Opportunity to work on challenging problems in manufacturing and operations.
  • Collaborate with a team focused on turning product visions into reality.
#Machine Learning#PhD Intern#Product Operations#Manufacturing#Computer Vision#Python
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Företag

Apple

Publicerade jobb

för 23 timmar sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Junior

Platser

Bengaluru, India

Kvalifikation

Kandidatexamen

Sökande

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