--- title: 'Machine Learning Engineer: Perception at Bedrock Robotics Inc' canonical: 'https://feeny.ai/job/machine-learning-engineer-perception-bedrock-robotics-inc-san-francisco-t57n8tbvdxvg' type: 'job' last_seen: '2026-09-05' --- # Machine Learning Engineer: Perception at Bedrock Robotics Inc - **Company:** Bedrock Robotics Inc - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-05-04 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.ashbyhq.com/bedrock-robotics/59f4cf4c-e0cc-4c39-a9a6-0e8a7c52a488/application **Skills:** PyTorch, TensorFlow, JAX, 3D Geometry, SE(3) transformations, Homogeneous coordinates, Sensor calibration, Early Fusion, Object Detection, Python, C++, Rust, Computer Vision, LIDAR, Camera Data Fusion, Occupancy grids, NeRFs, Voxel-based representations, Published research in ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS > Design and train state-of-the-art 3D perception systems using computer vision and LIDAR data. Optimize models for edge deployment, handle dynamic physical environments, and collaborate with engineering teams to ship production-grade autonomy solutions for construction machinery. ## Job description JOIN THE TEAM BRINGING ADVANCED AUTONOMY TO THE BUILT WORLD At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. Machine Learning Engineer: Perception Bedrock is bringing autonomy to the construction industry! 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 are looking for engineers with expertise in shipping production 3D perception systems at scale. Successful candidates have architected systems, trained models from scratch, understand the full stack (clustering, detection, classification, and tracking), and have shipped at scale. We use both computer vision and LIDAR-based approaches, so knowledge of either or both is key. Models are just part of the system: you understand data and have good intuition about why models fail. You know how to evaluate corner cases, manage or build data pipelines, use auto-labels (or not), and have a strong understanding of statistical properties of these systems. What You’ll Do: - 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. What we're looking for: - Production ML Experience: 5+ years of experience taking deep learning models from research to real-world production using PyTorch, Tensorflow, or JAX. - 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 understand memory management and real-time constraints. - Data Intuition: You understand that in robotics, better data alignment often beats a bigger model. You are willing to dig into the data infrastructure to ensure ground truth quality. Ways to stand out: - 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 Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you. ## About Bedrock Robotics Inc ## Company Overview - **One-liner**: Bedrock Robotics brings advanced autonomy to heavy machinery, upgrading existing construction equipment for fully autonomous operation to help the industry build faster and safer. - **Entity Type**: Private (Series B) - **Headquarters**: San Francisco, California, United States - **Founded**: 2024 - **Founders**: Boris Sofman (Co-Founder & CEO), Kevin Peterson (Co-Founder & CTO), Tom Eliaz (Co-Founder & VP, Engineering), Laurent Hautefeuille (Co-Founder & VP, Engineering) ## Core Business - **Primary industry**: Robotics Engineering / Autonomous Heavy Equipment / Construction Technology - **Target customers**: B2B — construction companies, infrastructure developers, and heavy machinery fleet operators - **Mission or purpose**: Transforming how we develop the world by enabling the construction industry to build at the pace of societal demand through autonomous technology. ## Products & Services - **[Bedrock Operator]**: An autonomous system that retrofits existing heavy equipment (e.g., excavators) to operate independently, adapting to on-site challenges, tracking productivity, and delivering expert-level quality with superhuman safety. Type: Hardware + Software (Autonomy Platform). ## Market Standing - **Valuation**: Not publicly disclosed (latest funding round values the company at a significant premium). - **Key Metric**: Total Funding — $350M raised (Series B of $270M closed in early 2026). - **Notable Investors/Partners**: NVentures (NVIDIA), Valor Equity Partners, 8VC, Eclipse, Tishman Speyer, and 21+ other investors. Backed by key strategic partners in construction and real estate. - **Growth Signals**: - Headcount grew 5,950% YoY (from ~1 to 85 employees in its first year). - Named "Outperformer" among 15 companies including Caterpillar, Sandvik, and Epiroc by CB Insights. - Covered by The New York Times, Forbes, and Engineering News Record for major funding and field deployments. - Completed a major project removing 65,000 cubic yards of dirt on a Southwest construction site. ## Competitive Advantages - **Deep autonomy heritage**: Founding team spent years at Waymo perfecting autonomous systems for complex, safety-critical driving on public roads — a rare and transferable expertise. - **Real-world deployment**: Technology is proven on active construction sites (not just simulations), with tens of thousands of hours of field data. - **Retrofit model**: Upgrades existing heavy equipment rather than requiring new machinery, lowering adoption barriers for construction firms. - **Continuous improvement**: The Bedrock Operator learns and sharpens skills with every project, creating a data moat. ## Strategic Focus - Scaling deployment of autonomous heavy equipment across major construction projects (housing, data centers, energy, factories). - Expanding the range of machinery types that can be retrofitted. - Deepening partnerships with construction firms and equipment manufacturers. - Growing the engineering and field operations teams to accelerate product development and customer support. ## Why Work Here - **Culture**: A passionate, product-driven team that works hand-in-hand with customers. Emphasizes real-world impact — field tests on active construction sites generate as much excitement as breakthrough code. - **Work Environment**: Hybrid presence with offices in Downtown San Francisco, Soho (New York City), and test facilities in Texas and California. - **Perks**: Comprehensive health & well-being coverage, daily in-office meals, commuter benefits, unlimited time off, paid parental leave, 401k retirement plan. - **Engineering Focus**: Work on unsolved problems — bringing autonomous technology to market that will revolutionize construction. Exposure across product, technology, and business. First pair of steel-toed boots provided. - **Team**: Collaborate with a diverse group of experts from Waymo, Zoox, Cruise, Caterpillar, and other top robotics/autonomy companies. ## Sources 1. [bedrockrobotics.com](https://bedrockrobotics.com/) 2. [bedrockrobotics.com/about](https://bedrockrobotics.com/about) 3. [bedrockrobotics.com/careers](https://bedrockrobotics.com/careers) 4. [cbinsights.com](https://www.cbinsights.com/company/bedrock-robotics) 5. 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