3D Machine Learning Engineer
FieldAI· Engineering – Mission, Interaction & Intelligence
Irvine, CA$150k - $200kFull-timePosted 3mo ago
About the role
Role focused on designing and deploying scalable 3D ML pipelines for point clouds and related modalities, integrating models into production, and working with diverse sensor data in field robotics environments.
Responsibilities
- Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding.
Qualifications
- 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 deep learning for point clouds, multi-view fusion, or geometric learning.
- Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.
- Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.
- Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, 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.
Skills
Required:PythonPyTorch3D point cloud processing
Nice to have:TensorFlow
Benefits
- Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Last updated Oct 22, 2026. Interested? Apply on the company site.
About FieldAI
Robot intelligence built for the real-world.
FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.
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