Browse current jobs

PhD Intern, Machine Learning: MSI, Product Operations Team

Apple · Bangalore

Apply on employer website

Collected role description

Role overview

PhD Intern, Machine Learning: MSI, Product Operations Team at Apple

This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on groundbreaking, new applications of machine learning, research, and implementation.

Responsibilities

  • Develop techniques that steer large foundation models without modifying their weights, and multimodal knowledge-graph reasoning — domain-specific Q&A, multi-hop reasoning, disambiguation, and tool/retrieval orchestration over manufacturing knowledge

Required qualifications

  • Minimum qualification: Pursuing PhD in Computer Science / 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

Preferred qualifications and skills

  • Preferred qualification: 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

Employment details

  • Location: Bengaluru [India]

Application details

  • Apply and extend LLMs, VLMs, and World Models to advance domain adaptation for manufacturing

About the employer

  • At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly.
  • We're looking for ML researchers to help us revolutionize how we manufacture Apple's amazing products.
  • Domain adaptation here is broad — spanning modalities including text, images, and video, such as generating physics-consistent videos adapted to Apple manufacturing
  • Collaborate within Apple to apply solutions to industrial problems

Additional role details

  • Imagine what you could do here.
  • Every single day, people do amazing things at Apple.
  • Ultimately, your work would have a huge impact on billions of users across the globe.
  • You can help inspire change, by using your skills to influence globally recognized products' manufacturing.
  • The goal of Apple's Manufacturing and Operations team is to take a vision of a product and turn it into a reality.
  • Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems.
  • Put your skill & passion to work in this highly visible role.
  • Research, build & adapt ML approaches for domain adaptation of multimodal foundation models to Apple manufacturing.
  • Train, evaluate, and analyze model performance (e.g., exact-match/F1 accuracy, explanation quality, and generation fidelity) on public benchmarks and on internal datasets where applicable
  • Conduct presentations of analyses and results to a wide range of audiences including executives

Collected minimum qualification

Pursuing PhD in Computer Science / 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

Collected preferred qualification

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

Collected experience requirement

No experience required