Job Summary:
Bedrock Robotics is a company focused on deploying autonomous systems in the construction industry. They are seeking a Machine Learning Engineer to develop and scale learning architectures and ensure reliable data systems for behavior learning models.
Responsibilities:
• Design, train, validate, and launch models for behavior cloning and reinforcement learning
• Build and maintain data ingestion, labeling, and management pipelines to ensure high-quality training datasets
• Build metrics to evaluate model performance in open loop, simulation, and in the real world
• Collaborate with simulation, systems, and infrastructure teams to integrate ML models into real-world autonomous systems
• Deploy and debug these models in real-world environments, addressing practical issues such as latency, hardware constraints, and system integration
Qualifications:
Required:
• 3+ years of practical experience applying Machine Learning with Deep Learning frameworks, such as PyTorch/Tensorflow/JAX to solve real-world problems
• 3+ years of professional experience building, deploying, and maintaining Machine Learning models in production environments
• Familiarity with recent literature and methods in learned behavior policies
• Practical experience in behavior cloning and/or reinforcement learning
Preferred:
• Experience with diffusion policies, Vision-Language-Action (VLA) models, or related technologies
• Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS, ...
Company:
Bedrock Robotics enables the construction sector to grow at the rate that modern civilization requires. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.