Huawei Technologies Canada Co., Ltd.

Huawei Technologies Canada Co., Ltd.

Intern Researcher – Multimodal & Voice Interaction (HCI)

Markham, Ontario, Canada · Intern · Internship

Sponsorship not specified$58k-$104kDetected 34 days ago
PythonJavaC++C#KotlinAndroidData StructuresAlgorithmsLinuxMachine LearningTensorFlowPyTorchAgentic AIAI OrchestrationCollaboration

About the role

  • The Huawei Human-Machine Interaction Lab unites global researchers, engineers, and designers to redefine human technology relationships through user centered, hands on research.
  • We focus on agentic AI and multimodal interaction (voice, touch, vision, gesture) across smartphones, wearables, and emerging devices-advancing agentic workflows, multi-agent orchestration, and intuitive human-AI interfaces.
  • By tightly integrating sensing, algorithms, and systems, our prototype driven work ships directly to products, enabling seamless task delegation and human AI collaboration at scale.

Responsibilities

  • About the job: Build simple prototypes (applications or small services) that demonstrate voice-first multimodal interactions (e.g., voice + touch, voice + gesture) on real devices.
  • Work with inputs such as audio, camera, and touch to implement straightforward interaction logic (e.g., combining voice commands with simple gestures or confirmations).
  • Collaborate with researchers and designers to prototype new interaction ideas (e.g., conversational interfaces, voice commands).

Requirements

  • About the ideal candidate: Currently pursuing a PhD or Master's degree in Computer Science, HCI, or a related field.
  • Familiarity with at least one ML framework (e.g., PyTorch, TensorFlow) and basic model inference workflow (e.g., loading a model, running inference, post‑processing).
  • Experience with at least one platform (e.g., Windows, Android, or Linux) - comfortable debugging, using command line, and managing dependencies.

Nice to have

  • Currently pursuing a PhD or Master's degree in Computer Science, HCI, or a related field.
  • Solid understanding of data structures and algorithms, including the ability to reason about time/space complexity and choose the right structure for the task.

Skills

  • Python, C++, Java, C#, Kotlin - experience writing programs of several hundred lines independently.
  • Exposure to voice/speech or AI concepts (e.g., speech recognition, chatbots, or basic machine learning).
  • Strong problem‑solving and troubleshooting skills - able to unblock themselves on straightforward issues before asking for help.
  • Huawei Canada is committed to a fair, inclusive, and accessible recruitment process.
  • Use existing speech tools (e.g., Whisper, Vosk, or similar) to integrate features like speech recognition or text-to-speech.
  • Use common tools and frameworks (e.g., PyTorch, TensorFlow).
  • Learn how different tools are used for on-device vs. cloud-based solutions.
  • Strong coding skills in at least two of: Python, C++, Java, C#, Kotlin - experience writing programs of several hundred lines independently.

Compensation

  • Build simple prototypes (applications or small services) that demonstrate voice-first multimodal interactions (e.g., voice + touch, voice + gesture) on real devices.
  • You'll work closely with the team to turn ideas into working demos.
  • Use existing speech tools (e.g., Whisper, Vosk, or similar) to integrate features like speech recognition or text-to-speech.
  • Perform light tuning and testing to improve responsiveness and usability.
  • Work with inputs such as audio, camera, and touch to implement straightforward interaction logic (e.g., combining voice commands with simple gestures or confirmations).
  • Collaborate with researchers and designers to prototype new interaction ideas (e.g., conversational interfaces, voice commands).

Company info

  • You'll work closely with the team to turn ideas into working demos.
  • Perform light tuning and testing to improve responsiveness and usability.
  • Help translate concepts into testable demos.
  • Write clean and readable code.
  • Run small tests (e.g., latency or usability checks) and document what you learn.
  • The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
  • Genuine interest in building intelligent voice‑driven interfaces and exploring how speech integrates with other modalities.

Equal opportunity

  • If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
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