bedrock ยท 2 days ago
Machine Learning Engineer: Robotics ML Generalist
Bedrock Robotics is focused on bringing autonomy to the construction industry with a team of veterans from the autonomous vehicle sector. They are seeking a highly motivated engineer to develop and optimize real-time machine learning models for robotic systems, ensuring effective deployment in real-world applications.
ConstructionReal EstateSoftware
Responsibilities
Develop and optimize real-time ML models for edge deployment on robotic systems
Work with vendors to label data and build robust data extraction and labeling pipelines
Design custom metrics to evaluate model performance in the field
Reduce model latency using tools like ONNX, TensorRT, or similar
Qualification
Required
Experience deploying machine learning algorithms to physical systems in the real world
Hands-on experience in perception (e.g., object detection, semantic segmentation, depth estimation) and/or behavior learning methods (e.g., Vision-Language-Action (VLA) models, diffusion policies)
Develop and optimize real-time ML models for edge deployment on robotic systems
Work with vendors to label data and build robust data extraction and labeling pipelines
Design custom metrics to evaluate model performance in the field
Reduce model latency using tools like ONNX, TensorRT, or similar
Practical experience applying machine learning with deep learning frameworks, such as PyTorch, to solve real-world problems
Proficiency in Python and comfort with at least one systems language (e.g., C++, Rust)
Experience deploying ML models to robotic systems or other physical platforms
Experience incorporating raw sensor data like camera, lidar, radar, IMUs, etc into deep learning algorithms
Preferred
Practical application of incorporating 3D geometry into deep learning models
Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS