About the job
Become a Key Player in Advancing Autonomy in Construction
At Bedrock Robotics, we are pioneering the integration of artificial intelligence into real-world applications, transitioning innovation from the lab to the field. Our team is comprised of accomplished professionals who have been instrumental in launching Waymo, facilitating Segment's acquisition for $3.2 billion, and propelling Uber Freight to $5 billion in revenue. We are currently implementing autonomous solutions in heavy construction machinery nationwide, expediting the timelines of billion-dollar infrastructure projects while enhancing safety across job sites. With $350 million in funding, we are rapidly addressing the urgent demand for housing, data centers, and manufacturing facilities, as well as the construction industry’s escalating labor challenges.
This is where innovative algorithms intersect with hands-on construction reality. You will work alongside industry experts and top-tier engineers to tackle tangible challenges that traditional simulations cannot resolve. If you are eager to utilize cutting-edge technology to address significant issues within a talented team, we invite you to apply.
At Bedrock, we are dedicated to revolutionizing the construction sector through automation. Our team consists of veterans from the autonomous vehicle sector, driven by our passion to deliver the advantages of automation to underserved areas in construction.
Key Responsibilities:
Develop and optimize real-time machine learning models for deployment on robotic systems.
Collaborate with vendors to annotate data and create robust data extraction and labeling processes.
Design custom metrics to assess model performance in real-world applications.
Minimize model latency using tools such as ONNX, TensorRT, or equivalent technologies.
Qualifications:
Hands-on experience applying machine learning techniques with deep learning frameworks like PyTorch to solve practical challenges.
Proficiency in Python and familiarity with at least one systems programming language (e.g., C++, Rust).
Experience deploying machine learning models to robotic systems in production settings, with an understanding of the complexities involved.