Perception Software or Machine Learning Engineer
New Yesterday
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 and debug system‑level issues such as sensor calibration drift and latency bottlenecks.
Collaborate with other teams to create state‑of‑the‑art representations for downstream use cases.
What We're Looking For
Production ML Experience: Experience taking deep learning models from research to real‑world production using PyTorch.
3D Geometry & Calibration: Deep understanding of SE(3) transformations, homogeneous coordinates, and sensor calibration.
Early Fusion Expertise: Practical experience with architectures that fuse modalities at the feature level (e.g., BEVFusion, TransFuser, PointPainting).
SOTA Object Detection Experience: Familiarity with modern transformer‑based architectures (DETR, PETR, PETRv2, StreamPETR, etc.).
Systems Fluency: Expert in Python with comfort reading and writing C++ or Rust, understanding memory management and real‑time constraints.
Data Intuition: Willingness to dig into data infrastructure to ensure ground truth quality.
Ways to Stand Out
Bonus: Voxel/Occupancy Experience – 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. If you don’t fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We’d love to consider you.
At Bedrock, we’ve 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, scale systems for Segment’s $3.2B acquisition, and grow Uber Freight to $5B in revenue. While others debate the future of AI, we’re 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.
In just over a year, we’ve raised $80M, put our equipment into the field, and established partnerships with forward‑thinking contractors who are integrating our technology into their operations. 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. Here, algorithms meet steel‑toed boots. You’ll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world gets built. If you’re interested in applying cutting‑edge technology to solve meaningful problems alongside a talented team – we’d love to have you join us.
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- Location:
- San Francisco
- Category:
- IT & Technology