Machine Learning Intern

As a Machine Learning Intern at ERIC Robotics, you will work on developing and deploying machine learning algorithms for robotics applications. The role focuses on sensor fusion, computer vision, and real-time inference optimization on edge devices. You will work closely with robotics and AI engineers to build perception systems that improve the intelligence and decision-making capabilities of our robotic platforms.

• Assist in developing and training deep learning models for robotic perception tasks.

• Support implementation of sensor fusion pipelines combining camera, LiDAR, IMU, and other sensors.

• Work with Open3D / PCL for 3D point cloud processing and perception tasks.

• Support optimization of ML models for edge deployment (Jetson, Xavier, Orin) using ONNX / TensorRT.

• Assist in integrating perception models with robotics pipelines.

• Conduct experiments, evaluate model performance, and document results.

• Assist in dataset preparation, annotation, preprocessing, and augmentation.

• Support experiment tracking using tools like MLflow / Weights & Biases.

• Assist in implementing reproducible ML workflows.

• Work closely with robotics, hardware, and software teams.

• Document experiments, results, and implementation details.

• Contribute to solving real-world robotics perception problems.

• Pursuing Bachelor's/Master's in Computer Science, Robotics, Electronics, or related fields.

• Basic knowledge of Machine Learning / Deep Learning concepts.

• Familiarity with Python and ML frameworks (PyTorch or TensorFlow).

• Understanding of Computer Vision fundamentals.

• Basic knowledge of ROS / ROS2 concepts is a plus.

• Familiarity with linear algebra, probability, and optimization basics.

• Strong analytical thinking and problem-solving skills.

• Exposure to 3D vision or point cloud processing (Open3D / PCL).

• Experience with Jetson platforms (Xavier NX, Orin, AGX).

• Understanding of CUDA / GPU acceleration basics.

• Experience with computer vision projects.