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Machine Learning Engineer : Imitation and Reinforcement Learning for Robotics

Machine Learning Engineer : Imitation and Reinforcement Learning for Robotics

Bedrock RoboticsSan Francisco, CA, United States
1 day ago
Job type
  • Full-time
Job description

Machine Learning Engineer : Imitation and Reinforcement Learning for Robotics

The Role

Were looking for a Machine Learning Engineer with a focus on behavior learning, specifically data-driven behavior policies and robust data infrastructure. In this role, youll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.

What youll do :

  • 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

What were looking for :

  • 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)
  • Familiarity with recent literature and methods in learned behavior policies
  • Practical experience in behavior cloning and / or reinforcement learning
  • Bonus : Experience with diffusion policies, Vision?Language?Action (VLA) models, or related technologies
  • Bonus : Published work in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, NeurIPS,
  • Our roles are often flexible. If you dont fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! Wed love to consider you.

    Join the team bringing advanced autonomy to the built world

    At Bedrock, weve assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self?driving cars on public roads at Waymo, scaled systems for Segments $3.2B acquisition, and grew Uber Freight to $5B in revenue.

    While others debate the future of AI, were deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey?grade precision and exceptional safety. This isnt a simulationits autonomous intelligence working on billion?dollar infrastructure projects.

    In just over a year, weve raised $80M, put our equipment into the field, and established partnerships with forward?thinking contractors who are integrating our technology into their operations. Were working quickly to close the gap between Americas surging demand for housing, data centers, manufacturing hubs, and the construction industrys growing labor shortage.

    Here, algorithms meet steel?toed boots. Youll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world gets built. If youre interested in applying cutting?edge technology to solve meaningful problems alongside a talented teamwed love to have you join us.

    #J-18808-Ljbffr

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    Machine Learning Engineer • San Francisco, CA, United States

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