Bedrock Robotics · 1 day ago
Perception Machine Learning Engineer
Bedrock Robotics is focused on bringing autonomy to the construction industry, leveraging expertise from the autonomous vehicle sector. They are seeking a Perception Machine Learning Engineer to design and optimize perception systems using advanced models that integrate Lidar and camera data for object detection and semantic segmentation.
Artificial Intelligence (AI)Information TechnologyRobotics
Responsibilities
Design Early Fusion Architectures: Develop and train state-of-the-art models (e.g., BEV-based transformers) that fuse raw Lidar and Camera data to solve for object detection and semantic segmentation
Tackle "Messy" Physics: Build perception systems robust enough to handle dynamic occlusion (seeing the robot’s own arm/bucket), particulates (dust, snow, rain), and high-vibration conditions
Deploy to the Edge: Optimize models for inference on embedded hardware. You will debug system-level issues, such as sensor calibration drift and latency bottlenecks
Collaborating with other teams to create state-of-the-art representations for downstream use cases
Qualification
Required
Production ML Experience: Experience taking deep learning models from research to real-world production using PyTorch
3D Geometry & Calibration: You have a deep understanding of SE(3) transformations, homogeneous coordinates, and intrinsic/extrinsic sensor calibration. You understand the math required to project a 3D Lidar point onto a 2D image pixel accurately
Early Fusion Expertise: Practical experience with architectures that fuse modalities at the feature level (e.g., BEVFusion, TransFuser, PointPainting) rather than just fusing final bounding boxes
SOTA Object Detection experience with modern transformer-based architectures (DETR, PETR, etc…) including similar temporal models (PETRv2, StreamPETR, …)
Systems Fluency: You are an expert in Python, but you are also comfortable reading and writing systems code in C++ or Rust. You understand memory management and real-time constraints
Data Intuition: You understand that in robotics, better data alignment often beats a bigger model. You are willing to dig into the data infrastructure to ensure ground truth quality
Preferred
Voxel/Occupancy Experience: Experience working with occupancy grids, NeRFs, or voxel-based representations for terrain mapping
Top-Tier Research: Published work in conferences such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS
Company
Bedrock Robotics
Bedrock Robotics enables the construction sector to grow at the rate that modern civilization requires.
H1B Sponsorship
Bedrock Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageTotal Funding
$80MKey Investors
8VCEclipse Ventures
2025-07-16Series A· $80M
2025-07-16Seed
Recent News
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