Alex James Digital ยท 3 weeks ago
Senior LiDAR Engineer
Alex James Digital is a Series C startup focused on making critical infrastructure industries climate-resilient and sustainable with AI. They are seeking a Senior LiDAR Engineer to design advanced ML models for aerial LiDAR processing and 3D computer vision, collaborating with geospatial scientists and ML engineers to optimize and implement these models.
Responsibilities
Design, implement, and optimize deep learning models for aerial LiDAR data - using CNNs, Transformers, and hybrid architectures
Build end-to-end pipelines for object detection, segmentation, and terrain modeling from geo-referenced point clouds
Combine aerial LiDAR with other data sources (e.g., RGB imagery, DSM/DTM, hyperspectral) using cross-modal transformers or fusion models
Implement efficient 3D spatial reasoning using voxel grids, sparse tensors, and attention-based architectures
Drive experimentation, model benchmarking, and ablation studies to push accuracy and efficiency boundaries
Collaborate with geospatial scientists and ML engineers to bring models to production via scalable APIs and cloud-native services
Apply MLOps practices to manage datasets, monitor model drift, and automate retraining workflows
Qualification
Required
5+ years of experience in applied machine learning or computer vision, with 3+ years focused on LiDAR or 3D data
Proven expertise in 3D deep learning (e.g., 3D CNNs, PointNet/PointNeXt, SparseConvNet, Minkowski Engine)
Experience building and fine-tuning transformer architectures for spatial or remote sensing applications (e.g., Swin3D, PointTransformer, GeoTransformer)
Strong coding skills in Python and deep learning libraries (PyTorch preferred)
Familiarity with aerial LiDAR data characteristics, including waveform/point density, elevation modeling, and coordinate systems (EPSG, UTM, etc.)
Hands-on experience with geospatial and point cloud libraries (PDAL, Open3D, PCL)
Understanding of GPU optimization and deployment in production (CUDA, TensorRT, TorchScript)
Master's or PhD in Computer Science, Remote Sensing, Geomatics, or related field
Preferred
Experience with neural implicit models (e.g., NeRF, occupancy networks) for 3D scene modeling
Knowledge of spatiotemporal modeling or change detection from periodic LiDAR collections
Prior work with cloud-based pipelines (AWS SageMaker, GCP Vertex AI, or Azure ML)
Contributions to open-source geospatial/ML tools or research publications
Benefits
Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children
Health Reimbursement Account (HRA): 100% funded to cover medical deductibles
401(k) Plan: Begin contributing after three months of employment to prepare for your future.
Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers
Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you!
Winter Break: From December 25th through January 2nd
Company
Alex James Digital
Alex James are a specialist digital recruitment agency.
Funding
Current Stage
Early StageCompany data provided by crunchbase