FieldAI

FieldAI - 3D Machine Learning Engineer 3D Machine Learning Engineer Irvine, CA Engineering – Product Engineering / On-site apply for this job FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You’ll Do - Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding. - Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2). - Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines. - Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM). - Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization. What You Have - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field. - 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks. - Strong background in 3D machine learning, with experience in dee