{"id":656406,"url":"https://alion.io/job/bedrockrobotics-machine-learning-engineer-perception-analytics","title":"Machine Learning Engineer: Perception Analytics","company":{"id":668890,"name":"Bedrock Robotics","domain":"bedrockrobotics.com","url":"https://alion.io/company/bedrockrobotics","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":90,"open_postings":17,"ghost_share":0,"stale_share":0.412,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":153000,"max_usd":295000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":508},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rust","optional":false}],"status":"live","first_seen_at":"2026-07-21T01:14:43Z","employer_posted_date":"2026-07-21","last_verified_at":"2026-10-30T23:27:41Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":100},"description":"Join the team bringing advanced autonomy to the built world\nAt 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.\nWe'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.\nThis 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.\nMachine Learning Engineer: Perception Analytics\nWe 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?\nWhat You’ll Do:\nExtend, modify and adapt existing perception signals for analytics needs\n\nWork with customers to define and scope what is possible with advanced perception systems on-site\n\nDeploy models and analytics directly to fleets of machines\n\nWhat We're Looking For:\nMSc or advanced degree in Computer Science, Robotics, or a related field\n\n4+ 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)\n\nProficient in Python and comfortable reading and writing at least one systems language (e.g. C++, Rust)\n\nHands-on experience incorporating raw sensor data (camera, lidar, IMU) into learned pipelines\n\nSolid grounding in 3D geometry, sensor calibration (intrinsics/extrinsics), coordinate transforms, and camera/image re-projection algorithms\n\nStrong data analysis skills across statistical characterization of sensor data, corner-case and anomaly discovery, and evaluation design\n\nWays to Stand Out:\nOne or more of the following:\nPrior experience working with customers to understand perception data and analytics\n\nExperience with the Rust programming language\n\nPublished work in top-tier venues such as ICRA, IROS, CVPR, ECCV, ICCV, CoRL, or RSS\n\nOther special aspects of the role:\nBased in the Bay Area with the ability to be onsite at our SF office on a daily/weekly basis\n\nBedrock Robotics is an Equal Opportunity Employer\nWe’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.\nReasonable Accommodations\nWe want our hiring process to be accessible to everyone. 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