{"schemaVersion":"jobsearcher.job.v1","id":"d7047682131f63f8cd84bcbf","url":"https://jobsearcher.com/jobs/d7047682131f63f8cd84bcbf","canonicalUrl":"https://jobsearcher.com/jobs/d7047682131f63f8cd84bcbf","title":"Machine Learning Engineer","description":"About OpenMind\n\nOpenMind is building the software that enables intelligent robots to perceive, understand, and operate in the physical world.\n\nWe develop and deploy AI-powered robotics solutions across diverse industries and environments. We're looking for a Machine Learning Engineer who can turn real-world challenges into reliable, scalable perception systems deployed on physical robots.\n\nWhat You will Do\n\nDesign and deploy computer vision and ML solutions for robotic inspection, monitoring, anomaly detection, measurement, and scene understanding.\n\nDevelop perception pipelines using object detection, classification, segmentation, tracking, video understanding, and multimodal models.\n\nIntegrate diverse sensors, including RGB, PTZ, depth and thermal cameras, and LiDAR, with calibration and sensor fusion as needed.\n\nOwn projects end-to-end, from system design and model development to optimization, evaluation, deployment, and field debugging.\n\nBuild scalable, reusable perception systems and collaborate with robotics engineers and customers to solve evolving real-world challenges.\n\nWhat we're looking for\n\nStrong foundations in modern computer vision, machine learning, and deep learning, including detection, classification, and semantic segmentation.\n\nStrong engineering fundamentals in languages such as Python, Go, and/or C++, and fluency in PyTorch or JAX.\n\nSolid software engineering and system design skills, with experience building and deploying reliable ML systems.\n\nDemonstrated end-to-end project ownership, with the ability to clearly explain system architecture, technical decisions, trade-offs, and outcomes.\n\nAbility to leverage modern AI tools effectively to accelerate development while maintaining independent technical judgment and a deep understanding of the systems being built.\n\nStrong problem-solving and communication skills, with the ability to work independently and collaborate across technical teams.\n\nNice to Have\n\nMS or PhD in machine learning, robotics, computer science, or a related field.\n\nExperience with ROS 2 and Docker-based deployment on robots.\n\nExperience deploying and optimizing models on edge hardware (e.g., NVIDIA Jetson) using TensorRT, ONNX, or similar toolchains under latency and memory constraints.\n\nHands-on experience with LiDAR, 3D perception, sensor calibration, or multi-sensor fusion.\n\nFamiliarity with vision-language models, multimodal foundation models, robot control, or active perception.\n\nWork & Benefits\n\nFull-time, on-site, Monday–Friday, 8 working hours per day\n\nUnlimited PTO\n\nCompensation: $130K–$200K\n\nOffers Equity\n\nOpportunity to build and deploy cutting-edge Physical AI solutions on real robots across diverse applications\n\nCompensation Range: $130K - $200K","company":"Wpp","rawCompany":"wpp","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-29T09:46:24.806Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"About OpenMind\n\nOpenMind is building the software that enables intelligent robots to perceive, understand, and operate in the physical world.\n\nWe develop and deploy AI-powered robotics solutions across diverse industries and environments. We're looking for a Machine Learning Engineer who can turn real-world challenges into reliable, scalable perception systems deployed on physical robots.\n\nWhat You will Do\n\nDesign and deploy computer vision and ML solutions for robotic inspection, monitoring, anomaly detection, measurement, and scene understanding.\n\nDevelop perception pipelines using object detection, classification, segmentation, tracking, video understanding, and multimodal models.\n\nIntegrate diverse sensors, including RGB, PTZ, depth and thermal cameras, and LiDAR, with calibration and sensor fusion as needed.\n\nOwn projects end-to-end, from system design and model development to optimization, evaluation, deployment, and field debugging.\n\nBuild scalable, reusable perception systems and collaborate with robotics engineers and customers to solve evolving real-world challenges.\n\nWhat we're looking for\n\nStrong foundations in modern computer vision, machine learning, and deep learning, including detection, classification, and semantic segmentation.\n\nStrong engineering fundamentals in languages such as Python, Go, and/or C++, and fluency in PyTorch or JAX.\n\nSolid software engineering and system design skills, with experience building and deploying reliable ML systems.\n\nDemonstrated end-to-end project ownership, with the ability to clearly explain system architecture, technical decisions, trade-offs, and outcomes.\n\nAbility to leverage modern AI tools effectively to accelerate development while maintaining independent technical judgment and a deep understanding of the systems being built.\n\nStrong problem-solving and communication skills, with the ability to work independently and collaborate across technical teams.\n\nNice to Have\n\nMS or PhD in machine learning, robotics, computer science, or a related field.\n\nExperience with ROS 2 and Docker-based deployment on robots.\n\nExperience deploying and optimizing models on edge hardware (e.g., NVIDIA Jetson) using TensorRT, ONNX, or similar toolchains under latency and memory constraints.\n\nHands-on experience with LiDAR, 3D perception, sensor calibration, or multi-sensor fusion.\n\nFamiliarity with vision-language models, multimodal foundation models, robot control, or active perception.\n\nWork & Benefits\n\nFull-time, on-site, Monday–Friday, 8 working hours per day\n\nUnlimited PTO\n\nCompensation: $130K–$200K\n\nOffers Equity\n\nOpportunity to build and deploy cutting-edge Physical AI solutions on real robots across diverse applications\n\nCompensation Range: $130K - $200K","datePosted":"2026-10-29T09:46:24.806Z","dateModified":"2026-10-29T09:46:24.806Z","hiringOrganization":{"@type":"Organization","name":"Wpp","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d7047682131f63f8cd84bcbf"},"url":"https://jobsearcher.com/jobs/d7047682131f63f8cd84bcbf"}}