Microsoft Applied Science Internship - Multimodal Foundation Models & Robotics 

Taiwan, Taoyuan City 

259111600

Contract Type:Internship

12-weeks (40hrs/week)

As part of our growing team, you will work alongside our researchers at the intersection of large-scale generative modeling and embodied AI, with a focus on robotics. You will be an integral part of our team’s mission of building the core intelligence for a new generation of agents, training the multimodal foundation models that empower them to perceive complex environments, reason about tasks, and act seamlessly across both the physical and digital worlds.

Required Qualifications:

• Currently enrolled in a Master's or PhD program in Computer Science, Robotics, Electrical Engineering, or a related technical field.
• Hands-on experience with modern deep learning frameworks (e.g. Pytorch/Tensorflow/Jax).
• Fluent in English

Preferred Qualifications:

Experience in one or more of the following areas:

• Foundation Models: hands-on training experience in at least one of the following topics: LLMs; Large vision-language models (VLMs); Video generative models and diffusion algorithms; or action-based transformers and Vision Language Action models (VLAs).
• Large-Scale ML Systems: Experience with large scale machine learning compute systems.
• Robotics:
  • Hands-on training experience in robot learning techniques, such as reinforcement learning, imitation learning as well as classical control methods
  • Solid understanding of robot kinematics, dynamics and sensors
  • Familiarity with control algorithms such as PID, model predictive control (MPC), and whole-body control.
• Self-motivated team-player, problem solver, and keen to learn.

• Contribute to the design and implement novel AI algorithms and models for general-purpose embodied agents;
• Gain hands-on experience optimizing and deploy AI models on robot hardware;
• Contribute developing high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
• Collaborate across Microsoft research and engineering teams to transition cutting-edge research into real-world impact.
• Contribute to research that leads to publications at leading AI and robotics conferences (e.g., CoRL, RSS, NeurIPS, ICML).