Research Engineer - Large Language Model & AI Innovation

Futureshaper.com; Markham; On-site; CAD 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Research Engineer to join their Human-Machine Interaction Lab. This role involves designing cutting-edge AI architectures tailored for human-computer interaction, optimizing models for real-world applications, and conducting comprehensive research from ideation to validation. The ideal candidate will have a strong background in AI, particularly in deep learning and NLP, and will be instrumental in shaping the future of user interaction with technology. Join a dynamic team of researchers and engineers dedicated to enhancing user experiences through advanced interactive systems and technologies.

Qualifications

• PhD or Master's in Computer Science, AI, or related field required.
• Experience in AI with a focus on deep learning and NLP is essential.

Responsibilities

• Design and implement AI architectures for human-computer interaction.
• Conduct research from prototyping to proof-of-concept validation.

Skills

Deep Learning

Natural Language Processing (NLP)

Algorithm Problem Solving

Python

Model Compression

Quantization

Reinforcement Learning

Education

PhD in Computer Science

Master's in Artificial Intelligence

Tools

PyTorch

TensorFlow

Job description

Huawei Canada has an immediate12-month contractopening for a Research Engineer.

About the team:
The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high-impact products and cutting-edge research, we aim to enhance user experiences and interactions with technology.

About the job:

• Design and implement novel AI architectures (e.g., LLMs, transformer-based models) tailored for human-computer interaction scenarios such as conversational agents, adaptive interfaces, or context-aware systems.

• Experiment with state-of-the-art techniques in NLP, reinforcement learning, and multimodal fusion to enhance model performance and user interaction efficiency.

• Optimize LLMs for real-world constraints (e.g., latency, memory footprint) while maintaining high accuracy.

• Conduct end-to-end research from idea prototyping to proof-of-concept validation for AI-driven interaction technologies.

• Analyze product requirements and stakeholder needs while monitoring cutting-edge advancements in AI/ML/NLP to strategically shape research priorities that align technical innovations with user-centric HMI application.

• Present findings internally and contribute to patents where applicable.

Requirements

About the ideal candidate:

• PhD or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Research/development experience in AI, with expertise in deep learning/NLP and LLMs.

• Expertise in designing and training large-scale models (e.g., transformers, reinforcement learning agents) using PyTorch/TensorFlow frameworks.

• Strong proficiency in Python and algorithm problem solving.

• Experience with model compression, quantization, or inference optimization.

• Ability to translate academic research into practical technical solutions.