Education Requirements:

• Master's or PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Familiar with Linux system, solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Familiar with and master principles of various optimization algorithms, machine learning, multi-agent reinforcement learning, deep learning, heterogeneous and asynchronous computing.

• Able to use mainstream frameworks like TF, PyTorch for model building and algorithm tuning.

• (Plus) Published papers in AI journals/conferences.

Other Requirements:

• Strong understanding and knowledge of AI.

• Strong hands-on and fast learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

• Good English skills, able to read relevant literature.

• (Plus) Knowledge in complex networks, Bayesian statistics, stochastic processes, information theory, game theory, knowledge graphs.

Responsibilities:

• Participate in cutting-edge research in multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Collaborate with team members to complete research projects, read papers, implement algorithms, conduct large-scale experiments.

• Participate in or lead the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Published at least 2 papers as first/corresponding author in top international AI conferences or SCI journals.

• Achieved significant results in at least one area among multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Social intelligence related work preferred.

• (Plus) Knowledge in optimization theory, complex networks, Bayesian statistics, stochastic processes, information theory, knowledge graphs.

Other Requirements:

• Good academic background and excellent independent research and innovation ability, self-driven, capable of leading research projects and guiding interns.

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Conduct cutting-edge research in multi-agent systems modeling, agent learning and decision-making, communication and collaboration, game theory, swarm intelligence, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid CV theoretical foundation, familiar with algorithms in related fields.

• Research background and work experience in 3D vision, image processing, video understanding preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch), good programming skills (Python / C++).

Responsibilities:

• Track latest AI research, responsible for algorithm research integrating visual perception with natural language, speech and other perception modules.

• Integrate machine vision with natural language processing, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Develop and optimize 3D reconstruction algorithms based on monocular, binocular, multi-camera.

• Optimize effects of basic computer vision modules, including but not limited to semantic segmentation, object detection/tracking, behavior recognition, pose estimation.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid cognitive/math/physics foundation, understanding of main tasks in computer vision, NLP, relevant project experience, flexible, adaptable.

• Experience in interdisciplinary learning, work, or research in cognition, computation, math-physics preferred.

• Winners in basic science international competitions preferred.

• Familiar with mainstream deep learning frameworks (TensorFlow/PyTorch), good programming skills (Python), strong execution.

Other Requirements:

• Good communication skills and teamwork, proactive.

• Strong problem analysis and learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

Responsibilities:

• Responsible for virtual task scene development (Omniverse/Unity3D/UE), cognitive computing modeling and general inference engine R&D, realizing a new generation of agents with human-like abilities such as perception, cognition, memory, reasoning, emotion, value.

• Specifically includes active causal discovery, causal chain-based task planning, efficient inference algorithms in complex reasoning tasks, efficient inference engines, mechanism discovery and computational modeling of important cognitive abilities, value learning and autonomous task generation, and other important AI tasks.

• Responsible for lab Demo development, joint system tackling with other labs and departments, cooperating to implement related algorithms in large national application scenarios.

Education Requirements:

• PhD degree in Artificial Intelligence, Robotics, Computer Science, Automation, Applied Mathematics or related fields.

Experience Requirements:

• Published papers in top international AI journals or academic conferences.

• Good academic background and research ability, able to independently undertake research tasks.

Other Requirements:

• Excellent mathematical foundation.

• Aspiring to engage in cutting-edge AI research, passionate about scientific research, full of challenge spirit.

• Excellent Chinese and English oral and written communication skills, good teamwork spirit.

Responsibilities:

• Simulation and Interaction Lab undertakes numerous research tasks centered on autonomous intelligence, focusing on cutting-edge exploration in embodied AI, cognitive computing, reinforcement learning, mixed-intelligence simulation, intelligent graphics generation.

• Responsible for conducting cutting-edge theoretical and technological research in AI, producing impactful original research results.

• Lead or participate in specific research projects, producing impactful scientific research results.

• Work closely with team members to promote the implementation of basic algorithm models.

Education Requirements:

• Bachelor's degree or above in Computer Science, Robotics, Mathematics, Physics or related fields.

Experience Requirements:

• Familiar with either Windows/Linux development environment, proficient in C++ programming language.

• Preference for one of the following: (1) experience in large-scale system development, debugging and optimization; (2) familiar with Unreal Engine/Unity/Airsim; (3) familiar with OpenGL/Vulkan/DirectX graphics APIs.

Other Requirements:

• Understanding of computer graphics, robotics, physics simulation preferred.

• Strong sense of responsibility, good team communication and collaboration skills.

Responsibilities:

• Develop automated virtual world scene construction system based on specified 3D engine.

• Develop human/robot motion simulation system based on specified 3D engine.

• Develop multi-person VR/AR interaction system based on specified 3D engine.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid NLP theoretical foundation, familiar with algorithms in related fields.

• Research background and work experience in natural language understanding, information retrieval preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch / MXNet), understanding of popular language models like Seq2Seq, Transformer.

• Good programming skills (Python / C++).

• (Plus) Mastered ASR, TTS speech technologies or relevant project experience.

Responsibilities:

• Track latest AI research, responsible for algorithm research integrating natural language processing with machine vision, speech and other perception modules.

• Integrate natural language processing with machine vision, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Establish explainable Q&A inference models, including neuro-symbolic reasoning, graphic reasoning.

• Optimize effects of basic natural language processing modules, including but not limited to word segmentation, entity recognition, syntactic analysis, intent classification.

Education Requirements:

• Master's degree or above in Computer Science, Robotics, Automation, Mathematics or related fields.

Experience Requirements:

• Solid theoretical foundation and practical experience in one or more areas: 3D vision (e.g., 3D reconstruction, point cloud processing, SLAM), computer vision, robotics, embodied intelligence, or vision-language models (VLMs).

• Proficient in 3D data processing tools and libraries (e.g., Open3D, PCL, Trimesh, PyBullet, Unity, Blender), and proficient in Python and PyTorch for model training and deployment.

• Experience in building data evaluation benchmarks or large-scale data quality control preferred.

Other Requirements:

• Strong data analysis and problem-solving skills, data-sensitive, able to design rigorous experiments to evaluate data quality and algorithm performance.

• Strong sense of responsibility and excellent cross-team communication skills, good technical documentation habits, strong self-drive and technical curiosity, proactively follow and learn cutting-edge technologies in the field.

Responsibilities:

• Responsible for collecting, automatically generating, annotating, managing, and building a quality evaluation system for 3D scene data (e.g., point clouds, Mesh, RGB-D, panoramic images) and embodied task data (e.g., robot operations, navigation trajectories, multi-modal instructions).

• Design and develop automated data quality detection and control (QC) processes and tools, perform validity, consistency, accuracy, and bias analysis on large-scale 3D and embodied data to ensure data quality meets algorithm R&D requirements.

• Build and maintain evaluation benchmarks and metric systems for 3D scene understanding and embodied tasks (e.g., visual language navigation VLM, operation tasks, simulation environment evaluation), responsible for systematic quantitative and qualitative evaluation of algorithm models.

• Collaborate closely with algorithm researchers and engineers, deeply understand business requirements, transform complex physical space interaction problems into quantifiable data indicators and evaluation tasks, driving algorithm iteration and optimization.

Benefits:

• Research environment combining cutting-edge topics with real scenarios

• Highly free exploration space and fast-iterating R&D process

• Competitive salary

• Opportunity to work with top researchers and engineers

Education Requirements:

• Master's degree or above in Robotics, Computer Science, Automation, Mechanical/Electronic Engineering or related fields (PhD preferred).

Experience Requirements:

• Solid programming skills (C++/Python), familiar with ROS2, Linux development environment.

• Familiar with one or more modules of robotic systems: perception (computer vision, deep learning, multimodal fusion), decision and planning (motion planning, reinforcement learning, imitation learning), control (dynamics modeling, control theory, MPC/ILQR), simulation and systems (Gazebo, Mujoco, Isaac Sim).

• Strong research capabilities or engineering implementation experience, able to quickly go from paper to implementation.

• Bonus: hands-on development experience with robot platforms (mobile robots, robotic arms, humanoid robots).

• Bonus: published papers in top robotics/AI conferences (ICRA, IROS, RSS, CoRL, NeurIPS, ICLR, CVPR).

Other Requirements:

• Good cross-team collaboration and problem-solving skills, strong interest in robot intelligence.

• Bonus: familiar with the combination of large models and robotics (VLA, World Model, Diffusion Policy, LLM for Robotics).

• Bonus: experience in cloud/distributed training, GPU acceleration, system optimization.

• Bonus: hardware debugging capability (sensors, drivers, motor control).

Responsibilities:

• Robot system R&D: participate in the complete technology chain R&D from perception, decision, control to execution, promoting efficient execution of robots in real environments.

• Algorithm exploration and implementation: based on cutting-edge research (e.g., reinforcement learning, large model-driven VLA, motion planning, visual perception), conduct algorithm design, optimization, and engineering implementation.

• System integration: integrate perception (visual/tactile/multimodal), localization and navigation, motion control and other modules into the robot platform, ensuring real-time performance and robustness of the system.

• Software architecture and toolchain: build high-quality robot R&D toolchain, including simulation environments (Mujoco/Isaac Sim), training platforms, evaluation benchmarks, and experiment automation.

• Interdisciplinary collaboration: work closely with researchers, hardware engineers, product teams to promote the closed-loop from research prototype to actual productization. Frontiers exploration: track academic and industrial frontier progress, propose innovative research directions and engineering solutions, promote the development of full-stack robot intelligence.

Education Requirements:

• Master's or PhD degree.

Experience Requirements:

• Project experience in Artificial Intelligence.

• Basic knowledge of machine learning and deep learning, understanding of common ML/DL models like Transformer, CNN, Seq2Seq, proficient in PyTorch, Transformers and other deep learning frameworks.

• Bonus: published papers in AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, EMNLP.

• Bonus: experience in large model training, fine-tuning, proficient in PEFT.

• Bonus: experience in website or AI application design and development, participated in AI open-source projects with 100+ GitHub stars.

Other Requirements:

• Strong self-drive, keen to explore new technologies, actively communicate, discuss, and collaborate with team members.

• Bonus: strong PPT production, Demo video editing skills.

Responsibilities:

• Participate in cutting-edge research in (1) Vision-Language Model (VLM), (2) Vision-Language-Action (VLA), (3) AGI Agents.

• Collaborate with team members to complete research projects, read papers, implement algorithms, conduct large-scale experiments.

• Participate in or lead the design and development of systems and platforms, promote the implementation of deep learning algorithms.

Education Requirements:

• PhD degree.

Experience Requirements:

• Published papers in top international AI conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, EMNLP).

Other Requirements:

• Strong self-drive, aspiring to engage in cutting-edge AI research, capable of leading a project and guiding interns.

• Excellent English oral and written communication skills.

Responsibilities:

• Conduct cutting-edge research in (1) Vision-Language Model (VLM), (2) Vision-Language-Action (VLA), (3) AGI Agents, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

Education Requirements:

• Master's degree or above in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Solid knowledge in deep reinforcement learning and imitation learning, familiarity with computer vision preferred.

• Experience in at least one programming language and tool: C/C++, Python, JAX or PyTorch experience preferred.

Other Requirements:

• Good English skills, able to read relevant literature.

Responsibilities:

• Conduct algorithm research and implementation around cognitive AI systems, robot vision, multi-agents.

• Build and maintain robot reinforcement learning training platform, conduct simulation and real-machine training tests.

• Conduct robot training, solve and optimize robot motion control related problems, coordinate with traditional control methods to improve overall robot motion performance.

• Research latest reinforcement learning algorithms, reproduce papers, design robot policy learning algorithms.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid CV theoretical foundation, familiar with algorithms in object detection, recognition, segmentation, tracking, 3D vision and related fields.

• Research background and work experience in scene reconstruction and understanding, video understanding preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch), good programming skills (Python / C++).

• Solid professional foundation and project experience.

Other Requirements:

• Good communication skills and teamwork, proactive.

• Strong problem analysis and learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

Responsibilities:

• Track latest AI research, responsible for R&D of multimodal information retrieval and scene perception understanding, and promote the application and implementation of multimodal scene perception understanding algorithms in business scenarios.

• Integrate machine vision with natural language processing, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Develop and optimize 3D reconstruction algorithms based on monocular, binocular, multi-camera.

• Optimize effects of basic computer vision modules, including but not limited to semantic segmentation, object detection/tracking, behavior recognition, pose estimation.

Education Requirements:

• Master's or PhD degree in Computer Science or related fields.

Experience Requirements:

• Solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Published papers in AI journals/conferences preferred.

Other Requirements:

• Strong understanding and knowledge of Artificial Intelligence.

Responsibilities:

• Mainly responsible for collaborating with team members on academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.

• Lead or participate in the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Software Engineering, Mathematics or related fields.

Experience Requirements:

• Good academic background and excellent independent research and innovation ability, published impactful papers in top international conferences and journals.

• Achieved significant results in at least one area among computer vision, natural language processing, robotics, cognitive science, machine learning, multi-agents, meta-intelligence and embodied intelligence.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Mainly responsible for academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.

Education Requirements:

• Master's degree or above in Computer Science, Robotics, Automation, Electronic Engineering, Applied Mathematics or related fields; exceptionally excellent undergraduates may be considered.

Experience Requirements:

• Proficient in C++ and Python, with good software engineering practices and code specification awareness. Familiar with Linux development environment. Familiar with ROS/ROS2 systems.

• Solid theoretical foundation in robot kinematics, dynamics, state estimation, etc., with one or more practical project experiences in SLAM, motion planning, motion control, navigation.

• Familiar with common robot simulation tools (Gazebo, Isaac Sim, Webots, etc.).

• Experience with actual robotic arm, quadruped robot, drone, humanoid robot implementation projects preferred.

Responsibilities:

• Design, implement, test and optimize robot core algorithms, including but not limited to localization and navigation, multi-sensor fusion, path planning, motion control.

• System integration, integrating algorithm modules into robot software systems, and optimizing for system real-time performance, robustness and accuracy.

• Use simulation tools (e.g., Gazebo, Isaac Sim, V-REP/CoppeliaSim, Webots) for algorithm prototype development and verification.

• Track the latest research progress in robotics, computer vision, artificial intelligence and other fields, evaluate their potential application in products.

Education Requirements:

• Bachelor's degree or above in Computer Science or related fields.

Experience Requirements:

• 5+ years of Python and Go development experience, C/C++ system development experience preferred.

• Solid computer foundation, proficient in data structures, algorithms, operating systems and network knowledge.

• Familiar with SDK design principles and interface design best practices, able to produce high-quality code and documentation.

• Experience in Linux environment development and deployment.

• Bonus: familiar with mainstream cloud computing platforms. Bonus: proficient in network communication, socket programming, and building/maintaining high-reliability services. Bonus: understanding of basic AI and ML concepts, familiar with real-time interaction processing, task planning and other processes.

Other Requirements:

• Good problem-solving skills, communication and collaboration spirit, and team awareness.

Responsibilities:

• Develop agent building platform, responsible for design, development and maintenance of AI agent framework core SDK, building efficient and stable tools based on Python and Go languages to support upper-layer application development.

• Undertake SDK interface design and performance optimization, ensuring interface usability and system operating efficiency, meeting high-concurrency scenario requirements.

• Write SDK development documentation, user manuals and example code to help developers get started quickly.

• Collaborate with the team to solve technical problems, promote project progress, and ensure R&D tasks are implemented.

• Participate in the construction of general AI operating systems and related platforms, handle architecture design, microservice deployment and other related work for SDK adaptation.

Education Requirements:

• Bachelor's degree or above in Computer Science and Technology, Software Engineering or related fields.

Experience Requirements:

• 5+ years of internet, AI product design experience.

• AI Agent related product design experience preferred, experience completing product design delivery from 0 to 1 preferred.

Other Requirements:

• Sufficient passion and long-term attention to product design, able to be responsible for product planning and follow-up requirements for subsequent versions.

• Good communication and coordination skills, good at understanding user business needs, keen insight and correct judgment of user needs.

• Excellent learning ability, curious about new products and technologies, good product innovation awareness and broad vision.

Responsibilities:

• Responsible for product research, data analysis and user insight in AI Agent related fields, combining research institute's strategy and technological advantages, conduct overall planning, functional design and other product lifecycle management for AI Agent products.

• Responsible for producing detailed requirement documents such as Product Requirement Document (PRD), functional definition, user interface, interaction design.

• Work closely with R&D, design, and testing teams, responsible for setting feasible product feature delivery schedules, making trade-offs on demand priorities, and managing business expectations.

• Pay attention to the latest industry developments and market demands. Participate in B-end/G-end customer docking, extract common requirements, and promote their transformation and precipitation into standard products.

Education Requirements:

• Bachelor's degree or above in Computer Science or related fields.

Experience Requirements:

• Familiar with at least one mainstream development language such as C++/Java/Python/Go.

• 1+ year of experience in distributed systems or infrastructure development, familiar with high-performance, high-concurrency, high-availability system architecture design.

• Familiar with 2+ components among Redis/MongoDB/ES/Kafka/MySQL/etcd.

• Bonus: experience in large-scale distributed system development and maintenance, familiar with at least one distributed storage or computing system preferred.

• Bonus: experience in ETL, data lake, data warehouse development preferred. Bonus: experience in cloud-native DevOps, MLOps preferred. Bonus: experience in vector databases, graph databases, knowledge graphs preferred. Bonus: familiar with basic AI and ML concepts.

Other Requirements:

• Good oral and written technical communication skills, teamwork spirit.

• Good English skills, able to quickly follow cutting-edge technology trends, read relevant technical documentation and literature.

Responsibilities:

• Participate in the development and maintenance of engineering infrastructure for the advanced technology center, collaborate with engineering, algorithm, and testing teams, responsible for AGI infrastructure and related service development, improving system stability and scalability, and promoting internal and external application implementation.

• Responsible for one or more of the following: 1. Design and development of multimodal distributed data systems, establishing multimodal data processing, storage, and retrieval systems; 2. Construction of system observability and interpretability systems, including distributed tracing, causal analysis, distributed logging, and metric collection; 3. Development of R&D efficiency tools, CI/CD, and automation construction.

Education Requirements:

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing or related fields.

Experience Requirements:

• In-depth research experience in human-machine value alignment, long-text modeling, efficient language models, explainable language models, language model inference, RAG knowledge integration, capable of independently conducting research projects.

• Knowledge of Natural Language Processing and Machine Learning fundamentals, deep understanding of Machine Learning and Deep Learning algorithms, especially their application in Natural Language Processing.

• Published high-quality academic papers in top international conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) or journals.

• Bonus: unique understanding, models, or systematic work in related Natural Language Processing subfields.

• Bonus: led large Natural Language Processing related projects, including large language model training and data cleaning, complex human-computer interaction systems.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

• Strong curiosity and innovative spirit, able to continuously explore new research directions and technological applications.

Responsibilities:

• Conduct cutting-edge research and technology development in natural language frontier areas such as value alignment, efficient language modeling, explainable large models, long-text understanding and reasoning, lead, collaborate and execute to advance frontier research in Natural Language Processing.

• Write high-quality academic papers, actively participate in submissions and publications to top international conferences and journals, enhance the lab's academic influence.

• Collaborate closely with product, engineering, and data teams to apply research results to actual products, promoting technology implementation.

• Participate in academic conferences, seminars, and internal technical sharing sessions, continuously track industry trends, and promote the team's technical level.