Machine Learning Engineer – Perception

Bedrock Robotics

Machine Learning Engineer developing production 3D perception systems at Bedrock. Collaborating with construction veterans and engineers to enhance autonomy in the construction industry.

Posted 5/4/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorchRust

About the role

Key responsibilities & impact

Develop and train state-of-the-art models that fuse raw Lidar and Camera data.
Build perception systems robust enough to handle dynamic occlusion, particulates, and high-vibration conditions.
Optimize models for inference on embedded hardware, debug system-level issues.

Requirements

What you’ll need

3+ years of experience taking deep learning models from research to real-world production using PyTorch.
Deep understanding of SE(3) transformations, homogeneous coordinates, and intrinsic/extrinsic sensor calibration.
Practical experience with architectures that fuse modalities at the feature level.
SOTA Object Detection experience with modern transformer-based architectures including similar temporal models.
Expert in Python and comfortable reading and writing systems code in C++ or Rust.
Understanding of data alignment in robotics.

Benefits

Comp & perks

Health insurance
retirement plans
paid time off
flexible work arrangements
professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

deep learningPyTorchSE(3) transformationshomogeneous coordinatesintrinsic sensor calibrationextrinsic sensor calibrationobject detectiontransformer-based architecturesPythonC++