Bedrock Robotics

Bedrock Robotics

Machine Learning Engineer: Perception

San Francisco, CA

Sponsorship not specifiedDetected 78 days ago
PythonRustC++Full-Stack DevelopmentAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchData EngineeringNLPComputer VisionMLOpsRoboticsSensorsResearch

About the role

  • Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites.
  • This is where algorithms meet steel-toed boots.
  • If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.

Responsibilities

  • Design Early Fusion Architectures: Develop and train state-of-the-art models (e.g., BEV-based transformers) that fuse raw Lidar and Camera data to solve for object detection and semantic segmentation.
  • Tackle "Messy" Physics: Build perception systems robust enough to handle dynamic occlusion (seeing the robot's own arm/bucket), particulates (dust, snow, rain), and high-vibration conditions.
  • Deploy to the Edge: Optimize models for inference on embedded hardware. You will debug system-level issues, such as sensor calibration drift and latency bottlenecks.
  • Collaborating with other teams to create state-of-the-art representations for downstream use cases.
  • Build perception systems robust enough to handle dynamic occlusion (seeing the robot's own arm/bucket), particulates (dust, snow, rain), and high-vibration conditions.

Requirements

  • 3D Geometry & Calibration: You have a deep understanding of SE(3) transformations, homogeneous coordinates, and intrinsic/extrinsic sensor calibration.
  • You understand the math required to project a 3D Lidar point onto a 2D image pixel accurately.
  • Early Fusion Expertise: Practical experience with architectures that fuse modalities at the feature level (e.g., BEVFusion, TransFuser, PointPainting) rather than just fusing final bounding boxes.
  • SOTA Object Detection experience with modern transformer-based architectures (DETR, PETR, etc…) including similar temporal models (PETRv2, StreamPETR, …)
  • Systems Fluency: You are an expert in Python, but you are also comfortable reading and writing systems code in C++ or Rust.
  • You are willing to dig into the data infrastructure to ensure ground truth quality.
  • You have a deep understanding of SE(3) transformations, homogeneous coordinates, and intrinsic/extrinsic sensor calibration.
  • You know how to evaluate corner cases, manage or build data pipelines, use autolabels (or not), and have a strong understanding of statistical of these systems.

Benefits

  • We're a group of veterans from the autonomous vehicle industry who are passionate about bringing the benefits of automation to areas in the construction industry currently underserved by the market.
  • We use both computer vision and LIDAR-based approaches, so knowledge of either or both is key.
  • Production ML Experience: 3+ years of experience taking deep learning models from research to real-world production using PyTorch, Tensorflow, or JAX.
  • Bonus: Voxel/Occupancy Experience: Experience working with occupancy grids, NeRFs, or voxel-based representations for terrain mapping.
  • Bonus: Top-Tier Research: Published work in conferences such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS
  • Our roles are often flexible.

Company info

  • At Bedrock, we're moving AI out of the lab and into the real world.
  • Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue.
  • Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
  • You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch.
  • What we're looking for:
  • Ways to stand out:
  • We are looking for engineers with expertise in shipping production 3D perception systems at scale.
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