Description
We expect you will research and develop innovative ML strategies for challenging problems that will affect future Apple products. You will collaborate with broader teams across Apple to transfer AI/ML solutions. You will have opportunities to provide technical mentorship and guidance and prepare technical reports for publication and conference talks. You are self-motivated, excellent problem solver, a go-getter. You are quick to build relationships and work well with change and ambiguity. You have strong programming skills with tried experience crafting, prototyping, and delivering sophisticated algorithmic solutions.
Responsibilities
- You will work on some of the most ambitious technical problems, develop new ML solutions that will impact future Apple products, and collaborate with the best product teams to integrate your ideas into products. In addition, you will engage with the academic community by publishing your innovative research, and speaking at conferences and events.
Minimum Qualifications
- Currently pursuing a Master/PhD degree in Machine Learning, Robotics, Computer Science, Data Science, Statistics or related areas.
- In-depth knowledge in deep learning (DL) and statistical machine learning (ML)
- Expertise in one or more following areas: Neural Architecture Search, Model Compression and Acceleration, Few-shot Learning, Weakly-supervised & Semi-supervised Learning, Optimization, Reinforcement Learning, Imitation Learning, 3D Reconstruction
- Familiar with Tensorflow or Pytorch
- IMPORTANT: minimum 3 months internship commitment
Preferred Qualifications
- Excellent programming skills in Python, C/C++, CUDA or other GPGPU
- Strong publication record demonstrating innovative research
- Good presentation skills
- Passionate about building extraordinary products
- Creative, collaborative & product focused
- IMPORTANT: 6 months commitment is preferred, starting no later than March 2026
