PhD Intern, Machine Learning: MSI, Product Operations Team
Apple · Bangalore
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