We are seeking a Machine Learning Engineer (Intern) to join us in developing advanced AI capabilities for robotics. The internship starts from June 2025 for 3-6 months. As part of our team, you will help build the foundational AI ecosystem, spanning data collection, labeling, training, evaluation, and deployment.

You will collaborate closely with a team of world-class AI engineers and gain hands-on experience solving real-world challenges at the intersection of artificial intelligence and robotics.

Responsibilities:

• Develop ML pipelines for robotics solutions, focusing on onboard and offboard AI stacks.
• Explore new ML models for perception and complex manipulation tasks and deploy them on robot for production needs.
• Collaborate with robotics, hardware, and product teams for seamless AI model integration.

Qualifications:

• Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field with a gradation date between 2025 - 2026
• Proficiency in multimodal models, modern ML architectures (e.g., transformers, diffusion models), and reinforcement learning.
• Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.
• Requires 5 days/week in-office collaboration with the teams.

Preferred Skills:

• Exposure to robot learning through tactile and/or vision-based sensors.
• Expertise in object pose estimation, bimanual manipulation, and synthetic data.