3D Machine Learning Engineer

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 robu [... source excerpt omitted ...] SageMaker) and containerized workflows. Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production. Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams. The Extras That Set You Apart Experience working with BIM data, digital twins, or construction-related sensor data. Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations. Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow. Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning. Exposu [... source excerpt omitted ...] g final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market. Why Join FieldAI in Irvine? In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use. You will collaborate with a world-class tea