AI & Robotics Team

“At Neurobatic, we’re redefining the boundaries of autonomy. We engineer precision machine learning agents — the brains behind adaptive machines that perceive, learn, and act as one. “


灵动天工, 人工智能团队

“ 《灵动天工》Neurobatic 重构自主的底层逻辑,打造精密机器学习智能体,赋予机器感知-学习-行动的合一进化力,为产业与人类解锁未来可能性。”

Can you solve a basic challenge?
你能解决一个基本的挑战吗?

” Develop a machine learning agent within an open-source AI platform to automate the dexterous manipulation capabilities of an agile robotic hand, enabling tasks such as using chopsticks to pick up objects, flipping and holding paper while recognizing and sorting document content into spreadsheets, and performing repetitive data entry by typing on a laptop. “

” 开发一个基于开源AI平台的机器学习代理,以自动化灵巧机器人手的精细操作能力,实现使用筷子拾取物体、翻转和持握纸张并识别和分类文档内容到电子表格,以及在笔记本电脑上执行重复的数据输入等任务。”

Current Openings
加入我们,共创未来


Research Team Lead

Responsibilities:

  • Oversee the research and development of AI-driven agile hand technologies.
  • Coordinate between departments to align project goals and resources.
  • Mentor team members and foster a collaborative research environment.

Qualifications:

  • Ph.D. in Robotics, Artificial Intelligence, or a related field.
  • Proven leadership experience in AI and robotics projects.
  • Strong publication record in reputable journals and conferences.
  • Excellent communication and project management skills.

AI Agent Developer (LLM/AI)

Responsibilities:

  • Design and develop AI agents tailored for real-time control of robotic agile hands.
  • Collaborate with cross-functional teams to integrate AI agents into humanoid robotic systems.
  • Conduct testing and optimization to enhance agent performance and responsiveness.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.
  • Proficiency in programming languages such as Python and C++.
  • Experience with AI frameworks like TensorFlow or PyTorch.
  • Understanding of robotics and real-time system integration.

Machine Learning Engineer

Responsibilities:

  • Develop and implement machine learning models to enhance the dexterity and adaptability of robotic hands.
  • Analyze sensory data to improve manipulation tasks involving unstructured objects.
  • Collaborate with hardware engineers to ensure seamless integration of ML models with robotic components.

Qualifications:

  • Bachelor’s or Master’s degree in Machine Learning, Data Science, or related fields.
  • Strong background in statistical analysis and algorithm development.
  • Experience with data processing tools and ML libraries.
  • Familiarity with robotic systems and control theory.

Robotics Integration Specialist

Responsibilities:

  • Integrate AI and machine learning solutions into humanoid robots, focusing on agile hand applications.
  • Develop and maintain system architectures that support AI-driven functionalities.
  • Troubleshoot and resolve integration issues to ensure optimal system performance.

Qualifications:

  • Bachelor’s or Master’s degree in Robotics Engineering, Mechatronics, or related fields.
  • Experience with robotic hardware and software integration.
  • Proficiency in ROS (Robot Operating System) and related tools.
  • Strong problem-solving skills and attention to detail.

Sensor Systems Engineer

Responsibilities:

  • Design and implement sensor arrays to enhance the tactile feedback of robotic hands.
  • Develop algorithms for real-time processing of sensory data.
  • Collaborate with AI developers to integrate sensory inputs into control systems.

Qualifications:

  • Bachelor’s or Master’s degree in Electrical Engineering, Robotics, or related fields.
  • Experience with sensor technologies and signal processing.
  • Proficiency in programming for embedded systems.
  • Understanding of haptic feedback mechanisms.

Simulation and Modeling Specialist

Responsibilities:

  • Develop and maintain simulation environments for testing AI-driven robotic hands.
  • Create digital twins to facilitate virtual training and reduce physical prototyping.
  • Analyze simulation data to inform design improvements.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Mechanical Engineering, or related fields.
  • Experience with simulation software such as Gazebo or V-REP.
  • Knowledge of physics-based modeling and kinematics.
  • Ability to translate real-world scenarios into virtual models.
  • These roles are essential to advancing the integration of AI and machine learning in humanoid robotics, particularly in enhancing the functionality of agile robotic hands.

AI Product Research Internships

Job Description:

As an AI Product Research Internships, you will support our product development team by researching and analyzing emerging AI technologies. Your primary focus will be on gathering market insights, evaluating AI tools, and contributing to the design and development of AI-driven solutions that empower businesses and individuals to integrate AI more effectively.

Responsibilities:

  • Conduct research on the latest advancements and trends in artificial intelligence and machine learning.
  • Assist in evaluating new AI technologies and tools relevant to product development.
  • Provide research-based insights to inform product design and development.
  • Support the development and testing of AI product prototypes.
  • Participate in team meetings and contribute to collaborative discussions on product improvements.
  • Communicate research findings and technical insights to team members across different departments.
  • Stay updated with industry developments in AI and machine learning.

Qualifications:

  • Currently enrolled in or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong analytical and problem-solving skills.
  • Basic understanding of machine learning, AI technologies, and data analysis.
  • Familiarity with programming languages such as Python or R is a plus.
  • Excellent communication and teamwork skills, with the ability to collaborate effectively across departments.

What We Offer:

  • Valuable Experience: Gain firsthand insights into AI product development.
  • Hands-On Learning: Work in a cutting-edge field with opportunities to contribute to the future of AI integration in business and personal applications.
  • Collaborative Environment: Join a supportive team focused on innovation and continuous learning.
  • Professional Growth: Opportunities for development within a fast-paced startup environment.
  • Internship Allowance: Receive a monthly allowance to support your work and learning during the internship.

Generative Artificial Intelligence Development Internships

Full Job Description

We are seeking highly self-motivated and driven students who are passionate about learning the end-to-end process of AI development and research & development (R&D). This internship offers an excellent opportunity to work closely with AI engineers and data scientists, gaining hands-on experience in AI development, with a particular focus on creating and training agents for humanoid integration and robotic agile hand handling.

Responsibilities:

  • Assist in developing and implementing AI models for various applications.
  • Collaborate with the AI team to gather and preprocess data for training models.
  • Conduct experiments to improve the performance of existing AI algorithms.
  • Support the design and implementation of end-to-end AI solutions.
  • Participate in site visits to client locations for requirements gathering and deployment, as needed.
  • Contribute to the development and training of agents for humanoid integration, particularly in robotic agile hand handling.

Qualifications:

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field.
  • Strong programming skills in languages such as Python, with familiarity with libraries like TensorFlow, PyTorch, Pandas, NumPy, or similar.
  • Solid understanding of full-stack web development.
  • Familiarity with frameworks like Django and FastAPI.
  • Interest in embedded programming and IoT development is an added advantage.
  • Knowledge of embedded programming, C/C++, is a plus.
  • Basic understanding of machine learning concepts and algorithms.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
  • Knowledge of Natural Language Processing (NLP) or computer vision is a plus.

Together we enable the evolution of Artificial Intelligence.
加入先锋行列,共启人工智能的下一章革命。

Email your resume to: career @ neurobatic.com

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