3D Machine Learning Engineer
Field AI
full-time
Posted on:
Location Type: Hybrid
Location: Irvine • California • United States
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About the role
- 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.
Requirements
- 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.
Benefits
- We value diverse perspectives and are committed to fostering an inclusive workplace.
- We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learning3D spatial data processingpoint cloud analysisobject detectionsegmentationscene understandingPythonmulti-view fusiongeometric learning
Soft Skills
collaborationinterdisciplinary teamworkcommunicationproblem-solvingadaptability
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Machine LearningMaster’s degree in Robotics