Machine Learning jobs in United States

As a global leader in power and thermal management solutions, Delta Electronics was founded in 1971 and is headquartered in Taipei, Taiwan with annual revenue exceeding $13 billion. Our wide range of products and solutions cover power supplies, energy management systems, display solutions, and industrial automation products.

We are known for our focus on innovation, sustainability, and energy efficiency. Active investment in research & development, and implementation of cutting-edge technologies ensures our business drives positive environmental impact.

Looking forward to having you join our 85,000 colleagues in building a Smarter and Greener future, Together!

Job Responsibilities:

• Design, implement, and test perception algorithms for robotic platforms using data from RGB cameras, stereo, depth, LiDAR, IMU, or other sensors.
• Develop and train machine learning and deep learning models for object detection, segmentation, tracking, and classification.
• Work with LLMs and VLMs to enable robots to interpret multimodal inputs (e.g., image + language) and follow natural language commands.
• Contribute to the development of vision-language grounding, where robot links its sensory inputs with language instructions.
• Integrate perception pipelines into robotic systems, ensuring real-time performance and robustness.
• Build and maintain datasets, annotation tools, and model training workflows including data collection, labelling, and preprocessing.
• Optimize models for deployment on embedded and edge devices.
• Collaborate with cross-functional teams (software, hardware, product) to integrate perception components into production systems.
• Analyze performance and iterate to improve accuracy, latency, and robustness of perception systems.
• Stay up to date with advances in computer vision, machine learning, and perception technologies.

Job Requirements:

• Bachelor's, Master’s, or Ph.D. in Robotics, Computer Science, Electrical / Electronic Engineering, or a related field.
• Research and development experience in the fields of deep learning, computer vision, machine learning, focusing on perception tasks. (e.g., PyTorch, TensorFlow).
• Exposure to or strong interest in working with LLMs and VLMs.
• Strong programming skills in Python; C++ proficiency (commonly used in robotics systems), and robotic middleware (ROS1/ROS2) is a plus.
• Hands-on experience or strong interest in computer vision or 3D perception for robotics (e.g., object detection, tracking, point cloud processing).
• Understanding of data structures, algorithms, and real-time system constraints.
• Collaborative and problem-solving mindset to solve complex challenges in real-world scenarios.
• Excellent teamwork and communication abilities.