Bridge Humans & Machines with NLU Voice AI! Taiwan’s 1st AI-powered innovation company listed on the GISA board (TPEx 7587) of the Taipei Exchange. Self-developed AI Semantics Algorithms, Natural Language Understanding (NLU), Voice AI engine, and speech (ASR/TTS) algorithms. We provide comprehensive solutions covering from cloud to edge and chip-level development, with industry applications and a global presence in Japan, the U.S., India, and Southeast Asia. Key achievements include deploying AIspeakin – REAL-TIME SPEECH TRANSLATION – at over 20 locations during the 2024 COMPUTEX, supporting 5+ multilingual forums, and implementing services at 27+ locations across 9 major hospitals.
台灣首家AI創櫃(7587) 登板公司 (創櫃轉登興櫃中) 自研AI語意語音演算法：自主研發AI自然語意(NLP/NLU)、語音 (ASR/TTS)引擎，提供雲網端芯到元宇宙之語意語音解決方案 並在日本、美國、印度及東南亞擁有全球業務。主要成就包括在2024年COMPUTEX期間於超過20個地點部署AIspeakin——即時語音翻譯，導入5個以上的多語種論壇，並在9大醫院的27個地點導入服務。
Connect Globally, Grow Digitally at Taiwan Digital Talent Connect on Oct 26!
Job Vacancies in Ubestream
For Any Countries
R&D Engineer (Speech Synthesis/Speech Recognition/Algorithm）
- Full Time
- 1 ~ 2 Person
- Negotiable
- Neihu District, Taipei City
Job Description
- Semantic and Speech AI Embedded Systems (AI on OS)
- Develop lightweight natural language and speech algorithms for edge devices, enabling quick natural language voice interaction responses at the edge.
- Experience in developing AI natural language and speech voice interaction applications on various operating systems (Linux/Windows/Mac/Android/iOS/ROS, etc.) for devices like PCs, laptops, smartphones, tablets, smart speakers, digital signage, kiosks, robots, or Raspberry Pi/Arduino, along with integration with third-party software and hardware systems
- Semantic and Speech AI Embedded Firmware (AI on Chip)
- Implement semantic and speech algorithms as firmware using Tiny ML on edge MCUs/ICs for on-chip AI inference.
- Expertise in developing AI voice and semantic algorithm firmware for voice control chips/FPGA/Arduino/Raspberry Pi or other boards used in wearables/hearables, smart vehicles, consumer electronics, toys, etc., and integrating them with peripheral components.
- Semantic and Speech AIoT Smart Internet of Things
- Set up CPU & GPU Docker/VMs in public or private clouds to create cloud intelligence with deep learning training and inference capabilities. Establish an AIoT architecture between the cloud and the edge to collect data from client or edge AI inference responses for retraining in the cloud. Deploy optimized new models back to the edge/client for AI updates.
Job Requirements
Relevant Experience:
- Experience in developing AI Bots/Agents such as Web/Line/App Bots, including customer service chatbots for websites or applications (Web/App Chatbot) and instant messaging IM customer service chatbots (Line/WhatsApp/FB/WeChat ChatBot).
- Experience in designing and integrating human-machine interfaces on edge devices like Kiosks, Digital Signage Bots, and Smart Speakers with AIoT.
- Experience in developing and designing Metaverse Avatar (Virtual Bot) virtual robots.
- Experience in developing, designing, and integrating Voice Bots for telephone voice applications.
- Experience in developing process and script modules for human-computer interaction across various industries/scenarios.
Other Qualifications:
- Proficiency in designing and applying semantic/speech algorithms. Ideally, candidates have studied machine learning (ML) and deep learning (DL) courses during their university or graduate studies and have published papers or intellectual property related to artificial intelligence, data science, or data mining during their master’s or doctoral stages or in corporate laboratories.
- Familiarity with using cloud AI tools such as Azure, GCP, or AWS.
- Knowledge of Linux Ubuntu or other Linux-like operating systems.
- Experience in visualizing semantic and speech data is a plus.
Skill:
- Linux、Github、Git、ASP.NET、C#、PHP、Python、Visual C#、Visual Studio、Visual Studio .net、Objective-C、SWIFT、R、Go、ADO、Informatica、MS SQL、MySQL、OLAP、PostgreSQL、Microsoft SharePoint、Vmware、hadoop、AWS、XHTML、XML、XML Web services、Sass、Node.js、D3.js、Django、Socket、ssh、Tableau、Google Analytics、Google Tag Manager、Google Display Network、Google Trend、Alexa、Google Data Studio、Firebase、Power BI、Data Architect、Data Marts
Benefits
- Employee stock options as additional benefits
- Labor insurance and health insurance
- Special leave
- Labor pension contributions
- Employment insurance
For Any Countries
Embedded Firmware/Chip/System Software and Hardware Integration Engineer
- Full Time
- 1 ~ 2 Person
- Negotiable
- Neihu District, Taipei City
Job Description
- Semantic and Speech AI Embedded Systems (AI on OS)
- Develop lightweight natural language and speech algorithms for edge devices, enabling quick natural language voice interaction responses at the edge.
- Experience in developing AI natural language and speech voice interaction applications on various operating systems (Linux/Windows/Mac/Android/iOS/ROS, etc.) for devices like PCs, laptops, smartphones, tablets, smart speakers, digital signage, kiosks, robots, or Raspberry Pi/Arduino, along with integration with third-party software and hardware systems.
- Semantic and Speech AI Embedded Firmware (AI on Chip)
- Implement semantic and speech algorithms as firmware using Tiny ML on edge MCUs/ICs for on-chip AI inference.
- Expertise in developing AI voice and semantic algorithm firmware for voice control chips/FPGA/Arduino/Raspberry Pi or other boards used in wearables/hearables, smart vehicles, consumer electronics, toys, etc., and integrating them with peripheral components.
- Semantic and Speech AIoT Smart Internet of Things
- Set up CPU & GPU Docker/VMs in public or private clouds to create cloud intelligence with deep learning training and inference capabilities. Establish an AIoT architecture between the cloud and the edge to collect data from client or edge AI inference responses for retraining in the cloud. Deploy optimized new models back to the edge/client for AI updates.
Job Requirements
Relevant Expertise and Experience:
- Must have experience in developing Mandarin (Traditional/Simplified Chinese) semantic and speech algorithms using ML/Rule-based methods on edge AI systems, either AI on OS or AI on Chip. Experience in designing semantic and speech algorithms for other languages, such as English, and embedding them into edge devices and firmware is a plus.
- Experience in implementing NLU/NLP or STT/TTS algorithms on edge devices’ MCU chips using deep learning neural network frameworks such as TensorFlow, Keras, or PyTorch.
Background：
- Mathematics and Computer Science disciplines
- Information Management
- Electrical and Electronic EngineeringShareRewrite
- Work Experience：1+ year
- Skill: Linux、MCU、C、Python、MySQL、XML、Node.js、Socket、ssh、Alexa、Firebase、DSP
Benefits
- Employee stock options as additional benefits
- Labor insurance and health insurance
- Special leave
- Labor pension contributions
- Employment insurance
For Any Countries
Semantic and Speech Edge AI Machine Learning (Edge AI on Chip/MCU/OS)
- Full Time
- 1 ~ 2 Person
- Negotiable
- Neihu District, Taipei City
Job Description
- Semantic and Speech AI Embedded Systems (AI on OS)
- Develop lightweight natural language and speech algorithms for edge devices, enabling quick natural language voice interaction responses at the edge.
- Experience in developing AI natural language and speech voice interaction applications on various operating systems (Linux/Windows/Mac/Android/iOS/ROS, etc.) for devices like PCs, laptops, smartphones, tablets, smart speakers, digital signage, kiosks, robots, or Raspberry Pi/Arduino, along with integration with third-party software and hardware systems.Semantic and
- Speech AI Embedded Firmware (AI on Chip)
- Implement semantic and speech algorithms as firmware using Tiny ML on edge MCUs/ICs for on-chip AI inference.
- Expertise in developing AI voice and semantic algorithm firmware for voice control chips/FPGA/Arduino/Raspberry Pi or other boards used in wearables/hearables, smart vehicles, consumer electronics, toys, etc., and integrating them with peripheral components.Semantic and
- Speech AIoT Smart Internet of Things
- Set up CPU & GPU Docker/VMs in public or private clouds to create cloud intelligence with deep learning training and inference capabilities. Establish an AIoT architecture between the cloud and the edge to collect data from client or edge AI inference responses for retraining in the cloud. Deploy optimized new models back to the edge/client for AI updates.
Job Requirements
Relevant Expertise and Experience:
- Must have experience in developing Mandarin (Traditional/Simplified Chinese) semantic and speech algorithms using ML/Rule-based methods on edge AI systems, either AI on OS or AI on Chip. Experience in designing semantic and speech algorithms for other languages, such as English, and embedding them into edge devices and firmware is a plus.
- Experience in implementing NLU/NLP or STT/TTS algorithms on edge devices’ MCU chips using deep learning neural network frameworks such as TensorFlow, Keras, or PyTorch.
- Background： Electrical and Electronic Engineering or Computer Science.
- Work Experience：1+ year
- Skill: Linux、MCU、C、Python、MySQL、XML、Node.js、Socket、ssh、Alexa、Firebase、DSP
Benefits
- Employee stock options as additional benefits
- Labor insurance and health insurance
- Special leave
- Labor pension contributions
- Employment insurance
For Any Countries
AI Business Development Representative
- Full Time
- 1 ~ 2 Person
- Negotiable
- Neihu District, Taipei City
Job Description
Job Requirements:
- Conduct business market negotiations and present AI technology products and services.
- Be an important team member for Ubestream’s medium to long-term business market development in Taiwan and globally.
Ideal Candidates:
- Candidates with business experience who are proactive and eager to grow with the team.
- Experience in SI system integration business, project management (PM), or business development (BD) is preferred.
- Proficiency in English communication is a plus.
- A background in IT, Data Science, AI, algorithms, chips, or related software and hardware technology or business is advantageous.
Job Requirements
- Language: Bilingual in English and Chinese
- Work Experience: 1+ year
- Skill: PMP, Excel, PowerPoint, Word, pitch
Benefits
- Employee stock options as additional benefits
- Labor insurance and health insurance
- Special leave
- Labor pension contributions
- Employment insurance
For Any Countries
Intern - Testing Voice/NLU AI (Part-time/Intern/Native Speaker)
- Full Time, Part Time
- 1 ~ 2 Person
- Negotiable
- Neihu District, Taipei City
Job Description
- Test the accuracy and fluency of the Voice/NLU AI services for transcription/translation/interpretation
- The above-mentioned is a part-time job, welcome native speakers, foreign students or you can speak in the above listed languages fluently as your mother language apply the PT or intern job ASAP.
Job Requirements
- Language: Arabic Arabic, Japanese, Korean, Thai, Vietnamese, Indonesian, Malay, France, German, Italian , Russian, turkish, Cantonese or other languages
Benefits
- Employee stock options as additional benefits
- Labor insurance and health insurance
- Special leave
- Labor pension contributions
- Employment insurance