Machine Learning Engineer (Intern) - AI Robotics

Milpitas

RoboForce

RoboForce, an AI-Robotics company, is building the first-of-its-kind Robotic Workforce system to take on tedious, heavy, and hard tasks humans don't have to do.

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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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Tags: Architecture Computer Science Deep Learning Diffusion models JAX Machine Learning ML models Pipelines PyTorch Reinforcement Learning Robotics TensorFlow Transformers

Region: North America
Country: United States

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