Robotics ML Engineering
267 open positions
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Machine Learning Engineer OpenSourced LtdBristol, South West England 3mo Building scalable ML infrastructure and workflows for training, deployment, and fleet management of advanced AI capabilities in robotic systems.
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Staff Specialist Field Engineer, Robotics CoreWeaveSan Francisco, CA, US $177k–$237k3mo Lead the Robotics vertical by defining customer engagement standards, leading complex deployments, and building customer-facing applications using CoreWeave's AI platform to enable real-world robot learning.
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Machine Learning Engineer - Foundational Harmattan-AIZurich 3mo Design and scale large-scale, multi-modal foundational models using Self-Supervised Learning (SSL) from unlabelled Electro-Optical (EO) and Infrared (IR) data to build the 'brain' of tactical robots.
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Senior Data Collection Operator GenesisBay Area 3mo Create high-quality teleoperated data for general-purpose robots by designing, setting up, and executing complex physical tasks using specialized hardware.
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?Robot Demonstration Data Contributor↗ Remote 3mo Review AI outputs against robot demonstration data contributor specialist operations workflows, playbooks, and firm policy to grade correctness, flag risks, and document next steps for model training.
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Staff AI Engineer, Perception AgilityroboticsFremont $207k–$207k3mo Design and deploy machine learning algorithms for object detection, tracking, and pose estimation to enable humanoid robots to operate safely in warehouses and manufacturing facilities.
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Machine Learning Engineer Trg.RecruitmentParis, Ile-de-France 3mo Deploy and fine-tune computer vision and audio models on hardware for robotics products, evolving the core ML library and integrating LLM pipelines.
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Senior Autonomy Engineer - SLAM & Navigation HumanoidUK, London 3mo Design and develop robust state estimation, long-term mapping, and localization loops for humanoid robots, integrating classical spatial geometry with modern machine learning techniques.
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Member of Technical Staff, Data Agent (Bay Area) Genesis AIBay Area 3mo Develop LM/VLM-powered agents that autonomously interface with code, GUI, and design software to drive generative simulation and synthesize high-quality physical data.
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Lead AI Engineer OriginBengaluru, Karnataka, India 3mo Research and develop real-time AI systems for autonomous construction robots, focusing on vision-language models, diffusion-based simulation, and edge deployment.
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Machine Learning Engineer Sanctuary AIGreater Vancouver, British Columbia 3mo Building robust ML systems for training and running policies on general-purpose robots to solve challenges in perception, manipulation, planning, and reasoning.
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Senior Applied Scientist, Amazon Robotics - Vulcan
AmazonSeattle, Washington, United States
$167k–$226k3mo
Develop learned controllers and manipulation behaviors for robots performing contact-rich tasks in unstructured Amazon fulfillment centers.
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Machine Learning Engineer Google ResearchAylesbury, Buckinghamshire 3mo Designing, training, deploying, and optimizing machine learning models for advanced robotics applications, specifically focusing on perception, scene understanding, and decision-making in industrial environments.
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Machine Learning Engineer Vikaso® | Robotics 4.0Buckinghamshire, South East England 3mo Formulate, train, and deploy machine learning models for robotic systems to perceive the world through vision and sensors, enabling reliable operation in industrial environments.
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Simulation Team Lead SunriseCET +/- 3 3mo Lead the simulation foundation powering AI training, solution validation, and robot behavior in high-fidelity virtual environments for manufacturing robots.
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Member of Technical Staff, Microsoft Robotics (Robot Learning) MicrosoftUnited States, Washington, Redmond 3mo Develop and train end-to-end robot learning models (vision-language-action, imitation learning, reinforcement learning) and deploy them to physical robot platforms for manipulation, locomotion, and navigation.
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Applied Scientist - ML and Robotics
AmazonNorth Reading, Massachusetts, United States
$143k–$193k4mo
Design force-aware control strategies and data-driven manipulation policies for robots operating in contact-rich, uncertain environments to enable robust grasping, insertion, and object handling.
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Senior Robotics & Machine Learning Engineer (m/f/d) - Fernride GmbH Quantum- Systems GMBHMilbertshofen-Am Hart, München 4mo Design and implement core components of an end-to-end autonomy stack for unmanned ground vehicles (UGVs) in challenging environments including GNSS-denied areas and off-road terrain.
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Senior AI/ML Engineer (F/M/D) AnimoreMunich, Bavaria, Germany 4mo Design and train foundation models integrating vision, language, and action for embodied intelligence to enable robots to perceive, reason, and act in dynamic physical environments.
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Robotics Software - Perception ML Engineer GrittSouth San Francisco 4mo Building and deploying AI perception capabilities for autonomous robots performing labor-intensive tasks in dynamic outdoor construction environments.
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Member of Technical Staff - Science, Frontier AI & Robotics (FAR)
AmazonSan Francisco, California, United States
4mo
Drive foundational research and build intelligent robotic systems from the ground up, operating at the intersection of cutting-edge AI research and real-world robotics.
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Senior AI Engineer, World Foundation Models NVIDIARemote $184k–$184k4mo Developing and validating world foundation models for high-fidelity, temporally stable video and world generation, focusing on human appearance, motion, and action understanding.
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Machine Learning Engineer: Perception Bedrock-RoboticsSan Francisco, CA 4mo Designing and deploying 3D perception systems for autonomous heavy construction machinery using fused Lidar and camera data.
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Applied Science Manager - Match & Affordances, Amazon Robotics
AmazonSeattle, Washington, United States
$184k–$249k5mo
Lead a team of applied scientists and engineers to develop intelligent robotic stow policies, placement optimization, and high-density storage solutions using machine learning and geometric reasoning.
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Machine Learning Engineer, Reinforcement Learning Skildai-CareersPittsburgh $100k–$100k5mo Designing and implementing reinforcement learning algorithms to develop intelligent, adaptable robots capable of autonomous complex tasks.
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Machine Learning Research Engineer/Scientist SundayRedwood City, CA 5mo Design and develop state-of-the-art robot learning algorithms for dexterous manipulation and controls in unstructured home environments.
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R&D-029 AI Engineer (VLAs) AI-Robot-AssociationHeiwajima, Tokyo, Japan 5mo Developing and deploying Vision-Language-Action (VLA) models for humanoid robots using large-scale real-world operational data.
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Sr Applied Scientist - Robotics Simulation, Amazon Robotics R&D↗
AmazonBellevue, WA, US
6mo
Senior Applied Scientist bridging simulation and real-world robotics, focusing on Physical AI, sim-to-real transfer, and deploying learned policies on Amazon fulfillment robots.
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Senior Applied Scientist, Amazon Industrial Robotics
AmazonNorth Reading, Massachusetts, United States
$167k–$226k6mo
Develop AI and machine learning systems enabling continuous learning, fleet-wide intelligence, and performance optimization for advanced robotics operations at unprecedented scale.
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Senior Embodied AI Engineer - Controls AimSeattle 6mo Develop and validate advanced control and learning algorithms for autonomous heavy machinery fleets operating in harsh environments.
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Applied Scientist II, Foundation Model, Industrial Robotics Group
AmazonSunnyvale, California, United States
$172k–$172k7mo
Develop and optimize foundation models (deep learning, LLMs) to enable robots to perceive, reason, and act in real-world environments for industrial automation.
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AI Research Engineer StandardbotsNew York City, NY $225k–$225k8mo Develop and optimize AI models and training systems for robotic automation, applying deep ML expertise to solve customer problems in physical spaces.
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Research Engineer - Robotic Hardware, Simulation and Data AppliedSunnyvale 1y Design mechatronic systems for robotic hardware, construct large-scale simulation environments for reinforcement learning, and process human motion data to enable next-generation physical AI and autonomous systems.
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