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.
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What We Do
RoboForce, an AI-Robotics company, is building a first-of-its-kind Robotic Workforce System to take on the most tedious, force-demanding, and dangerous work humans don't have to do
