Robotics ML Engineering
267 open positions
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Applied Scientist- Physical AI for Manufacturing, OMHS SCS
AmazonBoston, Massachusetts, United States
$143k–$193k1d
Build and deploy physical AI capabilities for robotic welding cells, enabling autonomous part recognition, orientation, and fixturing without manual programming.
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Stage Innovation : Ingénieur Robotique / Intelligence Artificielle AltenRennes, Brittany, fr $14k–$14k1d Develop agentic AI models (LLM, VLM, VLA) to reason and plan tasks for interacting with physical industrial environments composed of robots, PLCs, sensors, and vision systems.
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Robot Learning Engineer RohlikUSA 1d Define camera and data capture specifications for warehouse robotics, build evaluation harnesses, and post-train open robot-learning models to enable grocery manipulation tasks.
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Member of Technical Staff – Robotics Manipulation↗ DimensionalSan Francisco, CA, US 2d Design, implement, and deploy robotic manipulation systems on physical hardware to bridge the gap between lab-quality research and production-ready robotics.
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Research Fellow (Robot Learning & Manipulation)↗ Nanyang Technological UniversityNanyang Avenue, S00, SG 2d Lead research and development of learning-based visuomotor policies for humanoid robot manipulation, focusing on real-robot deployment and novel contributions.
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Robotics Engineer↗ PsiLexington, KY, US 2d Develop and implement AI-enabled robotic solutions, computer vision, and machine learning for real-world manufacturing applications to improve competitiveness and reduce costs.
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Research Associate (Robot Learning & Manipulation) NtuNTU Main Campus, Singapore 2d Develop and deploy learning-based visuomotor manipulation policies for humanoid robots to enable grasping, pick-and-place, and assembly tasks in real-world environments.
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Senior Research Scientist, Physical AI Infra↗ ByteDanceSan Jose, CA, US $218k–$218k2d Design, implement, and operate scalable infrastructure for Physical AI, including data pipelines, simulation platforms, and distributed training/inference for robotics and multimodal models.
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Research Scientist, Mobile Manipulation Robotics (I/O)
AmazonNorth Reading, Massachusetts, United States
$159k–$215k2d
Develop novel learning-based approaches for mobile robots to navigate and manipulate objects in dynamic fulfillment environments.
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Senior Computer Vision Engineer, Embodied AI Niantic-SpatialSan Francisco, CA $230k–$230k3d Build scalable real-to-sim stacks for embodied AI by productionizing 3D reconstruction and spatial perception capabilities to bridge the sim-to-real gap.
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AI Research Scientist– Foundation Models & Embodied AI↗ Robospec Pte. Ltd.Clementi, S00, SG 3d Develop, train, and optimize advanced AI models for robotics and embodied intelligence, focusing on multimodal foundation models and Vision-Language-Action (VLA) architectures.
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Head of Capability Development - Home & Service HumanoidUS, San Diego, CA 3d Lead the team developing reliable locomanipulation capabilities for bipedal humanoid robots to perform tasks like tidying rooms, loading dishwashers, and folding laundry in home and service environments.
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Robot Learning Engineer CleraMunich 3d Entry-level research and engineering role applying state-of-the-art machine learning to automate factory tasks like surface finishing, welding, and coating in a real robotic work cell.
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Senior Computer Vision Engineer, Egocentric StordUSA $113k–$113k4d Building end-to-end egocentric perception stacks for physical AI training data assets, including data capture operations and multimodal model development.
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Deployment Engineer↗ HackertrailSG 4d Own end-to-end deployment of humanoid robots in variable commercial and industrial environments, translating field friction into research and product improvements.
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Machine Learning Engineering Manager, Industrial Autonomy & Applied ML↗ Mariana MineralsHouston, TX, US $176k–$176k4d Lead ML engineers building perception, robotics, agentic workflows, and MLOps infrastructure for industrial plants.
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Robot Learning Engineer - Manipulation AppliedSunnyvale 5d Building a robot learning platform on Dana to enable robots to learn industrial manipulation tasks and improve autonomously.
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Research Intern, Robotics - Summer 2027 NVIDIAUS, WA, Seattle $0k–$0k5d Developing algorithms, foundation models, and methods for robotic manipulation and loco-manipulation for industrial, scientific, and household applications.
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Lead Physical AI Engineer CatIrving, Texas $148k–$148k8d Lead development of high-fidelity digital twins and machine dynamics models for Caterpillar construction machines using NVIDIA simulation technologies.
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Senior ML Engineer (AI Research, Physical AI) NebiusRemote 8d Building intelligent agents that perceive, reason, and act in the physical world through applied AI research.
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Sr. Physical AI Research Scientist↗ LG ElectronicsToronto, ON, CA $140k–$140k9d Design and develop robot agents that operate safely and robustly in real-world environments, focusing on physical intelligence, safety verification, and simulation-to-reality transfer.
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Senior Asset Pipeline Engineer, Sim-Ready Content GenesisRemote 9d Build an autonomous, agent-driven pipeline to transform raw 3D assets into physically valid and visually convincing content for robotics simulation.
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VP of Robotics Research↗ Micro1Remote $250k–$250k9d Lead the Robotics Research team to develop data foundations for robot learning, defining data collection, representation, and evaluation strategies to build a Robotics Data Engine.
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Engineer, Embodied AI↗ Black Sesame Technologies (singapore) Pte LtdClementi, S00, SG 9d Develop next-generation robot intelligence systems bridging large AI models with real-world robotic perception, planning, decision-making, and control.
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Co-op, Robotics Research - Physical AI (OTTO at Rockwell Automation) RockwellautomationWaterloo, Ontario, Canada $0k–$0k9d Develop next-generation Vision-Language-Action (VLA) models, World Models, and Reinforcement Learning (RL) frameworks for industrial robotics tasks.
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Senior Product Manager, Perception & World Understanding Skills AgilityroboticsRemote $186k–$186k9d Define product strategy and roadmap for perception and learned capabilities enabling humanoid robots to understand environments and perform useful work.
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Staff, Robotics ML/Data Engineer Persona-AI-IncUSA 9d Architect end-to-end multimodal data ingestion pipelines and validation systems for robotics training datasets, converting egocentric video, teleoperation recordings, and sensor signals into indexed, queryable, training-ready data.
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Research Scientist – Computer Vision (Body Pose Detection)↗ MeckaRichmond Hill, ON, CA $150k–$150k10d Architect and train proprietary foundation models for 3D human body tracking, articulated pose estimation, and human-scene interaction to support embodied AI and robotics.
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Machine Learning Applied Scientist (Co-op) AperaaiincVancouver Office $43k–$43k10d Apply machine learning and computer vision techniques to develop 4D Vision technology for industrial robots performing tasks like bin picking, sorting, and assembly in manufacturing environments.
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Staff Machine Learning Scientist/Engineer WayveSunnyvale, California USA $370k–$370k11d Building foundation models for general-purpose robots that learn from large-scale video, language, and robot-interaction data to perceive, reason, and act in the physical world.
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?Robotics Engineer: Foundation Model Training↗ Clementi, S00, SG 12d Develop foundation models for robotic perception and action, focusing on generalization across tasks, environments, and embodiments.
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AI Researcher - Perception 1xSan Carlos, CA $200k–$200k12d Building perception systems for a humanoid home robot (NEO) to understand surroundings, recover geometry, and enable safe locomotion and manipulation in real-world environments.
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?Machine Learning Engineer↗ South San Francisco, CA, US $150k–$150k12d Build machine learning models from scratch for novel problems in surgical robotics where existing research or pre-trained solutions do not apply.
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Senior Robotics Research Engineer - Foundation Models & Agentic Systems (m/w/d)↗ BWI GmbHBerlin, Berlin, Germany $88k–$88k12d Evaluate and deploy multimodal robot foundation models and agentic systems for autonomous robots, including training pipelines and real-world deployment on quadruped and humanoid platforms.
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