# Machine Learning Engineer: Perception at Bedrock Robotics

- Company: Bedrock Robotics
- Company website: https://bedrockrobotics.com
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco, CA
- Work setup: Remote
- Posted: 2026-05-04
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/bedrock-robotics/59f4cf4c-e0cc-4c39-a9a6-0e8a7c52a488
- Page: https://www.1752.vc/careers/jobs/bedrock-robotics-machine-learning-engineer-perception/

## About the role

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.

## What they're looking for

- 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 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

Tags: Engineering