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Added 1 hour ago
EI
CATIA BIW Design Engineer
Ecomendix Innovation and Trading Ltd.
Canada
- Contract
Company Description Ecomendix Innovation and Trading Ltd. delivers innovative engineering and manufacturing solutions across sectors such as oil & gas, agriculture, and related industries.…
Added 2 hours ago
ST
Controls and Automation Engineer
Saltworks Technologies
Richmond, BC
- $90,000 to $120,000 CAD / year
- Full-time
We have an exciting opportunity for a Controls & Automation Engineer (SCADA Team) to join our multi-disciplinary team. Our Controls & Automation team provides engineering design expertise…
Added 2 hours ago
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- Full-time
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Cloud Infrastructure Engineer, Senior Associate
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Added 14 hours ago
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Added 14 hours ago
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Added 14 hours ago
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Xanadu

AI Specialist - AI For Research

Toronto, ON, Canada

The base salary range is 140,000 - 190,000 CAD. · Full-time

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Job details

Pay: The base salary range is 140,000 - 190,000 CAD.
Job type: Full-time
Posting language: English
Posted: Aug 17, 2026

Original job description

About Xanadu:
Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems, and literally change the world. And that is something to be excited about!

Your role and responsibilities:
As an AI Specialist at Xanadu, you will play a crucial role in integrating state of the art AI technologies into our R&D processes. This unique position allows you to contribute to the development of our internal automation stacks, aimed at advancing the first commercially viable quantum computer. The AI team’s focus is to accelerate and automate the discovery, optimization, and validation for our internal research. Situated at the intersection of multiple technical disciplines, you will have the opportunity to work with world leading researchers, scientists, engineers, and software developers. By infusing cutting-edge AI into internal R&D tooling, you have the chance to super-charge their research progress and even reshape how they work. You will:

Build automated processes and feedback loops for executing complex research tasks at scale with Agentic AI.
Develop Reinforcement Learning based environments for training reasoning models.
Collaborate closely with researchers – theorists, experimentalists, engineers – to craft creative solutions for complex challenges.
Ensure high-quality production code through automated tests, CI/CD pipelines, and code review processes.

At Xanadu, we primarily work with GitHub, Python, AWS, Postgres, Docker, Terraform, and Claude. Proficiency in these technologies is essential.

Basic qualifications and experience:

BSc. in Computer Science, Engineering, Physics, Math, or a related field.
4+ years of ML/Research Engineer experience developing models and/or AI tools in a scientific/engineering research environment.
2+ years of experience in at least one of these areas: Agentic Systems, Reinforcement Learning based feedback loops, or large-scale LLM training and deployment.
Diverse experience with using and building AI agents, including context/harness engineering, knowledge retrieval, benchmarking performance, and multi-swarm Agent orchestration.
Strong Software Engineering Skills.
Good knowledge of physics and linear algebra.

Preferred qualifications and experience:

PhD/MSc in Computer Science, Engineering, Physics, Math, or related field.
Experience building domain specific agentic systems.
Deep knowledge in physical sciences or math.
Familiarity with quantum computing.

This is for an existing position. Your base salary will be determined based on your location, experience, and internal benchmarks. The base salary range is 140,000 - 190,000 CAD. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at recruiting@xanadu.ai.

Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

You will integrate state-of-the-art AI technologies into R&D processes to automate discovery, optimization, and validation for quantum computing research. This involves building agentic systems, developing reinforcement learning environments, and collaborating with scientists to scale research tasks.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 4 years of experience in ML or research engineering. Proficiency in Python, cloud infrastructure, and experience with agentic systems or large-scale LLM deployment is essential.

Skills

Python
Machine Learning
Agentic AI
Reinforcement Learning
LLM
GitHub
AWS
Postgres
Docker
Terraform
Claude
Linear Algebra
Physics
Software Engineering
CI/CD
Automation

Benefits

Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

AI Specialist
Quantum Computing
R&D
Automation
Agentic AI
Reinforcement Learning
LLM
Python
GitHub
AWS
Postgres
Docker
Terraform
Claude
CI/CD
Linear Algebra
Physics
Machine Learning
Research Engineer
Feedback Loops
Model Training
Deployment
Software Engineering
Data Science
Optimization

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