--- title: 'Machine Learning Engineer: Perception Analytics at Bedrock Robotics Inc' canonical: 'https://feeny.ai/job/machine-learning-engineer-perception-analytics-bedrock-robotics-inc-san-swg08crsy57a' type: 'job' last_seen: '2026-10-17' --- # Machine Learning Engineer: Perception Analytics at Bedrock Robotics Inc - **Company:** Bedrock Robotics Inc - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-21 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.ashbyhq.com/bedrock-robotics/5516dd68-5507-421a-8b10-4f45bc9b7bd5 ## 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 Analytics We are looking for a perception engineer to build features for our customers' analytics. This isn’t just a data science job. This is developing fundamental perception features to drive customer-facing platforms. What are the real-world challenges in measuring dig productivity from lidar/camera data? Can we modify existing perception systems to provide useful metrics for job sites? How do you measure safety over an entire site given perception systems? How do you re-identify the same objects across dozens of camera views on a site several city blocks wide, through dust and changing light? What You’ll Do: - Extend, modify and adapt existing perception signals for analytics needs - Work with customers to define and scope what is possible with advanced perception systems on-site - Deploy models and analytics directly to fleets of machines What We're Looking For: - MSc or advanced degree in Computer Science, Robotics, or a related field - 4+ years of professional experience shipping perception systems to production (ideally on robotic or other embedded platforms), with strong hands-on experience in a modeling framework (e.g. PyTorch) - Proficient in Python and comfortable reading and writing at least one systems language (e.g. C++, Rust) - Hands-on experience incorporating raw sensor data (camera, lidar, IMU) into learned pipelines - Solid grounding in 3D geometry, sensor calibration (intrinsics/extrinsics), coordinate transforms, and camera/image re-projection algorithms - Strong data analysis skills across statistical characterization of sensor data, corner-case and anomaly discovery, and evaluation design Ways to Stand Out: One or more of the following: - Prior experience working with customers to understand perception data and analytics - Experience with the Rust programming language - Published work in top-tier venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS Other special aspects of the role: - Based in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis 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. [linkedin.com](https://www.linkedin.com/company/bedrock-robotics) ## Other roles at Bedrock Robotics Inc - [Operations Manufacturing Test Lead](https://feeny.ai/job/operations-manufacturing-test-lead-bedrock-robotics-inc-san-francisco-z80b5j82w0z3) — San Francisco, CA - [Cloud - Staff Site Reliability Engineer](https://feeny.ai/job/cloud-staff-site-reliability-engineer-bedrock-robotics-inc-new-york-bm19yjwmsnm3) — New York, NY - [Hydraulics System Engineer](https://feeny.ai/job/hydraulics-system-engineer-bedrock-robotics-inc-san-francisco-gthg91n8mx6k) — San Francisco, CA - [Electrical Systems Integration Engineer](https://feeny.ai/job/electrical-systems-integration-engineer-bedrock-robotics-inc-san-francisco-gwm3ek73hfax) — San Francisco, CA - [Software Engineer, Fleet Platform](https://feeny.ai/job/software-engineer-fleet-platform-bedrock-robotics-inc-new-york-qx0fy5e80rsb) — New York, NY - [Mechanical Systems Integration Engineer](https://feeny.ai/job/mechanical-systems-integration-engineer-bedrock-robotics-inc-san-francisco-6y76rfp0vpk1) — San Francisco, CA - [Head of Bedrock Operations Center](https://feeny.ai/job/head-of-bedrock-operations-center-bedrock-robotics-inc-san-francisco-0kb2cwrappwd) — San Francisco, CA - [Data Operations Lead](https://feeny.ai/job/data-operations-lead-bedrock-robotics-inc-san-francisco-e02x1xmzrntg) — San Francisco, CA - [Head of Operations Planning and Special Projects](https://feeny.ai/job/head-of-operations-planning-and-special-projects-bedrock-robotics-inc-san-90e4md8phtew) — San Francisco, CA - [Customer Experience and Enablement Lead](https://feeny.ai/job/customer-experience-and-enablement-lead-bedrock-robotics-inc-san-francisco-5t1191g37z5w) — San Francisco, CA