ML Engineer Internship
Job Description
COCO Robotics is at the forefront of revolutionizing last-mile delivery through Physical AI technology. As an ML Engineer Intern, you'll be part of a dynamic team working on autonomous delivery robots that combine advanced robot learning, machine learning, and AI-driven perception and planning systems.
The role offers a unique opportunity to work on real-world robotics applications, where your contributions will directly impact the development of intelligent robotic systems that are actively deployed in communities. You'll be involved in crucial aspects of machine learning development, from data preparation to model deployment on actual robots.
Working alongside world-class AI and robotics experts, you'll gain invaluable experience in areas such as computer vision, deep learning, and robotics systems. The position requires strong technical skills in PyTorch, C++, and GPU training, along with knowledge of ROS systems. You'll be working from the company's headquarters near Venice Beach, with a flexible schedule that can accommodate your academic commitments.
This internship is ideal for undergrad/MS students in the LA area who are passionate about robotics and AI. The role offers competitive daily compensation ($300-$400 per day for part-time) and could potentially lead to a full-time engineering position. You'll be contributing to cutting-edge technology that's already making a real impact in the field of autonomous delivery, while building valuable experience in a fast-paced startup environment.
The company culture emphasizes curiosity, creativity, and technical excellence, making it an ideal environment for learning and professional growth. Whether your interests lie in robot learning, computer vision, motion planning, or large-scale ML systems, this internship offers hands-on experience with real-world applications of artificial intelligence and robotics technology.
Responsibilities For ML Engineer Internship
- Preparing video data and meta-data for ML model training
- Training, fine-tuning, and improving ML models
- Testing and deploying the trained ML models on the real COCO robot
Requirements For ML Engineer Internship
- Solid experience in deep learning and computer vision (3D vision, cameras, object detection, image classification, etc)
- Proficiency in PyTorch, C++, and GPU training, and knowledge in ROS system
- Experience in mobile robots, autonomous driving, embodied robotic system like Nvidia Jetson (Preferred)
- Experience in programming competitions, hackathon, and code contributions to open-source projects (Preferred)
- Experience in simulation and reinforcement learning (Preferred)
- Must live in LA area
- Minimum six months commitment if part-time or three months if full-time
- Must be able to come to the HQ office in-person at least ONE DAY per week
