Research Engineer - Runtime Assurance

Huawei Canada; Waterloo; On-site; CAD 80,000 - 120,000; Full time

Job summary

Huawei Canada seeks a Researcher for a 12-month contract, focused on advancing AI and robotics applications. Ideal candidates will have a PhD in a relevant field and strong skills in AI/ML frameworks. Responsibilities include conducting research, designing frameworks, and collaborating with teams to enhance AI reliability.

Qualifications

• PhD (enrolled for intern or recently graduated for contractor) in relevant field.
• Strong background in AI/ML and LLM architectures.
• Experience with statistical analysis and anomaly detection techniques is an asset.

Responsibilities

• Conduct research on runtime assurance techniques for AI systems.
• Design and implement a Python framework to monitor and validate AI model uncertainties.
• Develop and integrate techniques for LLMs and AI models.

Skills

AI/ML

Deep Learning

Python Programming

Uncertainty Quantification

Anomaly Detection

Education

PhD in Computer Science, Artificial Intelligence, Machine Learning or related field

Tools

PyTorch

TensorFlow

Hugging Face Transformers

Job description

Get AI-powered advice on this job and more exclusive features.

Huawei Canada has an immediate 12-month contract opening for a Researcher

About the team:

The Intelligent Complex Systems Team, currently a part of the Waterloo Research Centre, examines recent advancements in artificial intelligence (AI) and robotics to determine its potential for broader applications. This innovative team researches AI challenges such as matching human capabilities and ensuring the safety of collaborative AI systems.

About the job:

• Conduct research and development on runtime assurance techniques for AI/LLM-enabled systems.
• Design and implement a runtime assurance framework in Python to monitor, validate, and mitigate AI model uncertainties.
• Develop and integrate uncertainty quantification, anomaly detection, and robustness evaluation techniques for LLMs and AI models.
• Explore retrieval-augmented generation (RAG), AI observability frameworks, and runtime monitoring mechanisms for LLM-based decision-making with a focus on reducing hallucinations and improving factual consistency.
• Conduct experimental evaluations to improve system robustness, performance, and adaptability.
• Collaborate with AI/ML researchers and engineers to integrate runtime assurance techniques into AI development pipelines.
  
  

Job requirements

About the ideal candidate:

• PhD (enrolled for intern position or recently graduated for contractor position) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong background in AI/ML, deep learning, LLM architectures, and uncertainty quantification.
• Proficiency in Python programming, with experience in AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Familiarity with runtime monitoring, model evaluation, RAG, AI observability frameworks, and trustworthy AI research.
• Experience with statistical analysis, formal methods, or anomaly detection techniques is an asset.
• Strong research mindset with the ability to work independently and collaboratively in a fast-paced, research-driven environment.
• Passion for AI system reliability, runtime assurance, and advancing trustworthy AI methodologies.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Telecommunications

Referrals increase your chances of interviewing at Huawei Canada by 2x

Get notified about new Researcher jobs in Waterloo, Ontario, Canada.

Co-op/ Intern, User Researcher - Fall 2025

Network and Technology Operations Analyst

Senior Business Analyst, TPRM Governance, Operational Resiliency

Network & Technology Operations Analyst - Intern

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.