Robotics ML Engineering

280 open positions

Robot Learning Engineer GrittSouth San Francisco 1y Building and deploying AI capabilities for robots to perform manipulation and navigation in dynamic outdoor environments like construction sites.
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.
Staff R&D AI Engineer webAIAustin, TX 1y Lead development of Vision-Language-Action (VLA) models, reinforcement learning systems, and multimodal AI integration for real-time edge and cloud applications.
具身智能推理优化工程师 TencentShenzhen, China Optimizing inference performance and deployment for embodied intelligence models (multimodal perception, task planning, action strategies) across cloud and edge environments.
Member of the Technical Staff - AI/ML Engineer TransfyrCambridge, MA Build end-to-end ML systems that learn from messy, real-world scientific execution data to create grounded interpretations of actions and their impact on experiments.
Robot Operator & Data Annotator Weave RoboticsSan Francisco, CA $0k–$0k Operate general-purpose robots via teleoperation to perform real-world tasks like folding laundry and organizing objects, while collecting high-quality data to train AI models.
运动控制算法资深专家（具身智能）-火山引擎 ByteDance上海 Lead R&D of whole-body control algorithms for humanoid embodied robots, including architecture design, reinforcement learning (RL) motion control models, and Whole-Body Control (WBC).
操作算法资深专家（具身智能）-火山引擎 ByteDance上海 Lead R&D of operation algorithms for humanoid embodied robots, including architecture design, grasping algorithms, VLA model development, and dexterous hand systems.
Robotics Engineer – Locomotion UMAParis, France Train and deploy reinforcement learning locomotion policies on humanoid robots, bridging simulation to hardware.
Research Scientist / Engineer Intern UMAParis, France Build and ship learning-based control systems for general-purpose humanoid robots in the real world.
具身大模型评测与数据工程师 TencentShenzhen, China Design and implement multi-level evaluation systems (simulation and real-world) for embodied AI models covering perception, reasoning, manipulation, and long-horizon tasks.
Software Engineer, Robotics Deccan AISan Francisco, CA Build production software systems connecting data pipelines, simulation, training loops, and evaluation for Vision-Language-Action (VLA) foundation models to enable robot learning.
具身导航算法专家-火山引擎 ByteDance北京 Lead R&D of perception and navigation algorithms for embodied robots, focusing on architecture design, model development, data, evaluation, and deployment.
ML Engineer - Robotics Deccan AIMountain View, CA Design, train, and deploy intelligent ML models for perception, motion planning, and control in autonomous robotic systems.
具身Infra工程师（Seed Robotics） - Seed Model ByteDance北京 Building and optimizing large-scale GPU infrastructure and simulation frameworks for training and deploying multimodal large models (Word Action Model, VLA) and reinforcement learning agents in robotics.
豆包AI大模型具身仿真工程师-火山方舟MaaS ByteDance北京 Build high-fidelity, physics-based simulation environments for embodied AI, data synthesis, and reinforcement learning to support model training and validation.
全栈研发工程师/RL Environments架构师-AI数据服务平台 ByteDance上海 Build a modular, high-extensibility RL environment production line and core platform for Agent reinforcement learning, supporting massive training throughput, stability, and observability.
数据算法工程师（具身智能方向） - 数据平台 ByteDance北京 Develop and deploy Data+AI algorithms for embodied intelligence, robotics, and humanoid robots, enabling multimodal data capabilities to transition from perception/understanding to decision-making and execution.
具身智能VLA模型数据算法工程师-AI数据与安全 ByteDance北京 Develop end-to-end R&D for pre-training data of Embodied AI VLA (Vision-Language-Action) models, focusing on data synthesis, automated labeling, and quality optimization to support 'perception-understanding-execution' integration for humanoid robots and smart…
资深产品经理（机器人/具身智能训练方向）-AI数据与安全 ByteDance北京 Design products for embodied intelligence (Robotics) and large robot model training platforms, enabling data collection from simulation to real-world deployment.
ML Research Engineer, Training Weave RoboticsSan Francisco, CA Build end-to-end training stacks and large-scale data systems to turn terabyte-scale real-world robot data into capable models for home and business robots.
Robotics Simulation & Synthetic Data Intern Deccan AIMountain View, CA Build end-to-end synthetic data generation pipelines for robot foundation models using NVIDIA Isaac Sim and Cosmos Transfer to create photorealistic training datasets from human demonstrations.
具身智能研发专家-火山引擎 ByteDance北京 Research and development of embodied intelligence, focusing on humanoid robots and autonomous agents.
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation Path Robotics, Inc (We're Hiring!) • Columbus • Remote (Work from Home)Remote • Columbus Designing and building whole-body loco-manipulation systems for precision tasks in heavy manufacturing using AI-driven embodied intelligence.
Research Scientist - Embodied World Models UMAParis, France Design, train, and evaluate world models that predict action outcomes for humanoid robots in simulation and real-world scenarios.
ML Research Scientist, Robot Learning Weave RoboticsSan Francisco, CA Conduct independent research to define the long-term roadmap for deploying deep learning models onto physical robots in real homes and businesses.
Research Engineer - Embodied World Models UMAParis, France Building world models that predict action outcomes to enable robots to understand, plan, and reason in the physical world.
ML Engineer Alloy RoboticsSydney, Australia Build the AI layer's learning loop for a robotics data platform, focusing on evaluations, retrieval, and cost-optimized inference for robot fleet data.
Research Scientist / Engineer UMAParis, France Build and ship learning-based control systems for humanoid robots in the real world using reinforcement learning, imitation learning, and multimodal foundation models.
具身智能数据算法专家-火山引擎 ByteDance北京 Building high-quality datasets for VLA/VLN models to train embodied AI robots, covering real-world data collection, simulation, and data generation.

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