Who can apply: Only open to applicants in: California.
Location as listed by the employer: “San Francisco, CA”
Apply on Bedrock Robotics's site ↗
Opens the employer's official application page.
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About this role
Bedrock Robotics is hiring for a Machine Learning Engineer: Perception role (full-time). See the official posting for full details.
Requirements
- Production ML Experience: 5+ years of experience taking deep learning models from research to real-world production using PyTorch, Tensorflow, or JAX.
- 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…
- 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.
Summarized from the employer's posting — check the full posting for every requirement.
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