3D Perception ML Engineer — Edge Deployment & Fusion
Bedrock Robotics
San Francisco (CA)
On-site
USD 120,000 - 150,000
Full time
14 days+
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Job summary
Bedrock Robotics is looking for a Machine Learning Engineer in San Francisco, CA, who will focus on developing production 3D perception systems. Candidates should have 3+ years of experience with deep learning models in a production setting, and a understanding of both computer vision and LIDAR approaches. Responsibilities include designing architectures that fuse data, deploying models on embedded hardware, and collaborating on various projects. Strong skills in Python and knowledge of C++ or Rust are essential.
Qualifications
3+ years of experience taking deep learning models from research to real-world production.
Deep understanding of SE(3) transformations and sensor calibration.
Practical experience with early fusion architectures.
Expert in Python and familiar with systems code in C++ or Rust.
Understanding of data alignment and its importance in robotics.
Responsibilities
Develop and train state-of-the-art models that fuse raw Lidar and Camera data.
Build robust perception systems for dynamic occlusion and high-vibration conditions.
Optimize models for inference on embedded hardware.
Collaborate with other teams for state-of-the-art representations.
Skills
Production ML Experience
3D Geometry & Calibration
Early Fusion Expertise
SOTA Object Detection expertise
Systems Fluency
Data Intuition
Tools
PyTorch
Tensorflow
JAX
C++
Rust
Job description
Bedrock Robotics is looking for a Machine Learning Engineer in San Francisco, CA, who will focus on developing production 3D perception systems. Candidates should have 3+ years of experience with deep learning models in a production setting, and a understanding of both computer vision and LIDAR approaches. Responsibilities include designing architectures that fuse data, deploying models on embedded hardware, and collaborating on various projects. Strong skills in Python and knowledge of C++ or Rust are essential.